- The review process is now over: 195 papers have been accepted as full papers. They will be published in the Proceedings (and hence in the Digital Library) and presented during one of the sessions of the conference.
- Search the list below by typing text in the column headers.
- See also the list of accepted posters.
- The Best Paper Nominations and Best Paper Awards can be found here!
- The Call for Papers and the Papers Submission Instructions are still available for your information.
Accepted Papers
Track | Title | Authors |
---|---|---|
ACO-SI | Semi-supervised Learning Assisted Particle Swarm Optimization of Computationally Expensive Problems | Chaoli Sun (Taiyuan University of Science and Technology), Yaochu Jin (University of Surrey), Ying Tan (Taiyuan University of Science and Technology) |
ACO-SI | Information Sharing and Conflict Resolution in Distributed Factored Evolutionary Algorithms | Stephyn Butcher (Johns Hopkins University), John Sheppard (Montana State University), Shane Strasser (Montana State University) |
ACO-SI | A New Foraging-Based Algorithm for Online Scheduling | Koen van der Blom (Leiden University), Thomas Bäck (Leiden University) |
ACO-SI | A Particle Swarm Optimization based Feature Selection Approach to Transfer Learning in Classification | Bach Nguyen (Victoria University of Wellington), Bing Xue (Victoria University of Wellington), Peter Andreae (Victoria University of Wellington) |
ACO-SI | Recurrent Neural Network-Predictions for PSO in Dynamic Optimization | Almuth Meier (University of Oldenburg, Oldenburg, Germany), Oliver Kramer (University of Oldenburg, Oldenburg, Germany) |
ACO-SI | A Model of Artificial Emotions for Behavior-Modulation and Implicit Coordination in Multi-robot Systems | Jerome Guzzi (IDSIA Dalle Molle Institute for Artificial Intelligence Research), Alessandro Giusti (IDSIA Dalle Molle Institute for Artificial Intelligence Research), Luca Gambardella (IDSIA Dalle Molle Institute for Artificial Intelligence Research), Gianni Di Caro (Carnegie Mellon University - Qatar) |
ACO-SI | Using Ant Colony Optimization to Optimize Long Short-Term Memory Recurrent Neural Networks | AbdElRahman ElSaid (University of North Dakota), Fatima El Jamiy (University of North Dakota), James Higgins (University of North Dakota), Brandon Wild (University of North Dakota), Travis Desell (University of North Dakota) |
CS | Safe Mutations for Deep and Recurrent Neural Networks through Output Gradients | Joel Lehman (Uber AI Labs), Jay Chen (Uber AI Labs), Jeff Clune (Uber AI Labs), Kenneth Stanley (Uber AI Labs) |
CS | Interoceptive robustness through environment-mediated morphological development | Sam Kriegman (University of Vermont), Nick Cheney (University of Wyoming), Francesco Corucci (3DNextech s.r.l.), Josh Bongard (University of Vermont) |
CS | Evolution of Fin Undulation on a Physical Knifefish-inspired Soft Robot | Frank Veenstra (IT University of Copenhagen), Jonas Jørgensen (IT University of Copenhagen), Sebastian Risi (IT University of Copenhagen) |
CS | Data-efficient Neuroevolution with Kernel-Based Surrogate Models | Adam Gaier (Bonn-Rhein-Sieg University of Applied Sciences, Inria), Alexander Asteroth (Bonn-Rhein-Sieg University of Applied Sciences), Jean-Baptiste Mouret (Inria) |
CS | Robotic Snake Simulation using Ensembles of Artificial Neural Networks in Evolutionary Robotics | Grant Woodford (Nelson Mandela University), Mathys du Plessis (Nelson Mandela University) |
CS | On an Immuno-inspired Distributed, Embodied Action-Evolution cum Selection Algorithm | Tushar Semwal (Indian Institute of Technology Guwahati), Divya Kulkarni (Indian Institute of Technology Guwahati), Shivashankar Nair (Indian Institute of Technology Guwahati) |
CS | Fusing Novelty and Surprise for Evolving Robot Morphologies | Daniele Gravina (University of Malta), Antonios Liapis (University of Malta), Georgios Yannakakis (University of Malta) |
CS | Automatic Synthesis of Swarm Behavioural Rules from their Atomic Components | Dilini Samarasinghe (The University of New South Wales), Erandi Lakshika (The University of New South Wales), Michael Barlow (The University of New South Wales), Kathryn Kasmarik (The University of New South Wales) |
CS | A Robot to Shape your Natural Plant: The Machine Learning Approach to Model and Control Bio-Hybrid Systems | Mostafa Wahby (University of Lübeck), Mary Katherine Heinrich (Royal Danish Academy), Daniel Nicolas Hofstadler (University of Graz), Payam Zahadat (University of Graz), Sebastian Risi (IT University of Copenhagen), Phil Ayres (Royal Danish Academy), Thomas Schmickl (University of Graz), Heiko Hamann (University of Lübeck) |
CS | Towards the Targeted Environment-Specific Evolution of Robot Components | Jack Collins (CSIRO, Queensland University of Technology), Wade Geles (CSIRO), Gerard Howard (CSIRO), Frederic Maire (Queensland University of Technology) |
CS | How swarm size during evolution impacts the behavior, generalizability, and brain complexity of animats performing a spatial navigation task | Dominik Fischer (Technische Universität München), Sanaz Mostaghim (University of Magdeburg), Larissa Albantakis (University of Madison-Wisconsin) |
CS | Evolution of a Functionally Diverse Swarm via a Novel Decentralised QD Algorithm | Emma Hart (Edinburgh Napier University), Andreas Steyven (Edinburgh Napier University), Ben Paechter (Edinburgh Napier University) |
CS | Hierarchical Behavioral Repertoires with Unsupervised Descriptors | Antoine Cully (Imperial College), Yiannis Demiris (Imperial College) |
CS | Real-World Evolution Adapts Robot Morphology and Control to Hardware Limitations | Tønnes Nygaard (University of Oslo), Charles Martin (University of Oslo), Eivind Samuelsen (University of Oslo), Jim Torresen (University of Oslo), Kyrre Glette (University of Oslo) |
CS | Discovering the Elite Hypervolume by Leveraging Interspecies Correlation | Vassilis Vassiliades (Inria), Jean-Baptiste Mouret (Inria) |
DETA | Evolving simple programs for playing Atari games | Dennis Wilson (University of Toulouse), Sylvain Cussat-Blanc (University of Toulouse), Hervé Luga (University of Toulouse), Julian Miller (University of York) |
DETA | Evolving Mario Levels in the Latent Space of a Deep Convolutional Generative Adversarial Network | Vanessa Volz (TU Dortmund University), Jacob Schrum (Southwestern University), Jialin Liu (Queen Mary University of London), Simon Lucas (Queen), Adam Smith (University of California, Santa Cruz), Sebastian Risi (IT University of Copenhagen) |
DETA | Generating a Melody Based on Symbiotic Evolution for Musicians' Creative Activities | Noriko Otani (Tokyo City University), Daisuke Okabe (Tokyo City University), Masayuki Numao (Osaka University) |
DETA | Opponent Modeling and Exploitation in Poker Using Evolved Recurrent Neural Networks | Xun Li (The University of Texas at Austin), Risto Miikkulainen (The University of Texas at Austin) |
DETA | Evolving Indirectly Encoded Convolutional Neural Networks to Play Tetris With Low-Level Features | Jacob Schrum (Department of Mathematics and Computer Science, Southwestern University) |
DETA | Querying Across Time to Interactively Evolve Animations | Isabel Tweraser (Department of Mathematics and Computer Science, Southwestern University), Lauren Gillespie (Department of Mathematics and Computer Science, Southwestern University), Jacob Schrum (Department of Mathematics and Computer Science, Southwestern University) |
DETA | Generating Beginner Heuristics for Simple Texas Hold'em | Fernando De Mesentier Silva (New York University), Julian Togelius (New York University), Frank Lantz (New York University), Andy Nealen (New York University) |
ECOM | Multifractality and Dimensional Determinism in Local Optima Networks | Sarah Thomson (University of Stirling), Sébastien Verel (Université du Littoral Côte d'Opale), Gabriela Ochoa (University of Stirling), Nadarajen Veerapen (University of Stirling), David Cairns (University of Stirling) |
ECOM | Memetic Multilevel Hypergraph Partitioning | Sebastian Schlag (Karlsruhe Institute of Technology), Christian Schulz (University of Vienna), Robin Andre (Karlsruhe Institute of Technology) |
ECOM | An effective hybrid meta-heuristic for a heterogeneous flow shop scheduling problem | Matheus Araujo (Universidade Federal de Viçosa), Jose Claudio Arroyo (Universidade Federal de Viçosa), Ricardo Tavares (Universidade Federal de Viçosa) |
ECOM | Algorithm Selection on Generalized Quadratic Assignment Problem Landscapes | Andreas Beham (University of Applied Sciences Upper Austria, Johannes Kepler University), Stefan Wagner (University of Applied Sciences Upper Austria, Johannes Kepler University), Michael Affenzeller (University of Applied Sciences Upper Austria, Johannes Kepler University) |
ECOM | A two-level diploid genetic based algorithm for solving the family traveling salesman problem | Petrica Pop (Technical University of Cluj-Napoca), Oliviu Matei (Technical University of Cluj-Napoca), Camelia Pintea (Technical University of Cluj-Napoca) |
ECOM | Dominance, Epsilon, and Hypervolume Local Optimal Sets in Multi-objective Optimization, and How to Tell the Difference | Arnaud Liefooghe (Univ. Lille, Inria Lille - Nord Europe), Manuel López-Ibáñez (University of Manchester), Luís Paquete (University of Coimbra), Sébastien Verel (Université du Littoral Côte d'Opale) |
ECOM | Enhancing Partition Crossover with Articulation Points Analysis | Francisco Chicano (University of Malaga), Gabriela Ochoa (University of Stirling), Darrell Whitley (Colorado State University), Renato Tinós (University of Sao Paulo) |
ECOM | One-Class Constraint Acquisition with Local Search | Daniel Sroka (Institute of Computing Science, Poznan University of Technology), Tomasz Pawlak (Institute of Computing Science, Poznan University of Technology) |
ECOM | Randomized Greedy Algorithms for Covering Problems | Wanru Gao (The University of Adelaide), Tobias Friedrich (Hasso-Plattner-Institut), Frank Neumann (The University of Adelaide), Christian Hercher (University of Flensburg) |
ECOM | Escaping Large Deceptive Basins of Attraction with Heavy-Tailed Mutation Operators | Tobias Friedrich (Hasso Plattner Institute), Francesco Quinzan (Hasso Plattner Institute), Markus Wagner (The University of Adelaide) |
ECOM | A fitness landscape analysis of the Travelling Thief Problem | Mohamed El Yafrani (Mohammed V University in Rabat), Marcella Martins (Federal University of Technology - Parana UTFPR), Mehdi El Krari (Mohammed V University in Rabat), Markus Wagner (The University of Adelaide), Myriam Delgado (Federal University of Technology - Parana UTFPR), Belaïd Ahiod (Mohammed V University in Rabat), Ricardo Lüders (Federal University of Technology - Parana UTFPR) |
ECOM | Min-Conflicts Heuristic for Multi-Mode Resource-Constrained Projects Scheduling | Arben Ahmeti (TU Wien), Nysret Musliu (TU Wien) |
ECOM | A Merge Search Algorithm and its Application to the Constrained Pit Problem in Mining | Angus Kenny (RMIT University), Xiaodong Li (RMIT University), Andreas Ernst (Monash University) |
ECOM | A heuristic algorithm based on Tabu Search for the solution of Flexible Job Shop Scheduling Problems with Lot Streaming | Miguel Fernández Romero (Universidad Autónoma Metropolitana - Azcapotzalco), Eric Rincón García (Universidad Autónoma Metropolitana - Azcapotzalco), Antonin Ponsich (Universidad Autonoma Metropolitana - Unidad Azcapotzalco), Roman Mora Gutiérrez (Universidad Autónoma Metropolitana - Azcapotzalco) |
ECOM | A Multi-objective Formulation of the Team Formation Problem in Social Networks: Preliminary Results | Carlos Brizuela (CICESE), Julio Juarez (CICESE) |
ECOM | Fitness Landscape Analysis around the Optimum in Computational Protein Design | David Simoncini (LISBP), Sophie Barbe (LISBP), Thomas Schiex (INRA), Sébastien Verel (Université du Littoral Côte d'Opale) |
ECOM | Improving the Run Time of the (1+1) Evolutionary Algorithm with Luby Sequences | Tobias Friedrich (Hasso Plattner Institute), Timo Kötzing (Hasso Plattner Institute), Francesco Quinzan (Hasso Plattner Institute), Andrew Sutton (University Minnesota Duluth) |
ECOM | Iterated Greedy Algorithms for the Hybrid Flowshop Scheduling with Total Flow Time Minimization | Hande Öztop (Yasar University), M. Tasgetiren (Yasar University), Deniz Türsel Eliiyi (Yasar University), Quan-Ke Pan (Huazhong University of Science and Technology) |
ECOM | Evolutionary Multi-Level Acyclic Graph Partitioning | Orlando Moreira (Intel Corporation), Merten Popp (Intel Corporation), Christian Schulz (University of Vienna) |
EML | ES Is More Than Just a Traditional Finite-Difference Approximator | Joel Lehman (Uber AI Labs), Jay Chen (Uber AI Labs), Jeff Clune (Uber AI Labs, University of Wyoming), Kenneth Stanley (Uber AI Labs) |
EML | Divide and Conquer: Neuroevolution for Multiclass Classification | Tyler McDonnell (SparkCognition, Inc.; The University of Texas at Austin), Sari Andoni (SparkCognition, Inc.), Elmira Bonab (SparkCognition, Inc.), Sheila Cheng (SparkCognition, Inc.), Jun-Hwan Choi (SparkCognition, Inc.), Jimmie Goode (SparkCognition, Inc.), Keith Moore (SparkCognition, Inc.), Gavin Sellers (SparkCognition, Inc.), Jacob Schrum (SparkCognition, Inc.; Southwestern University) |
EML | Evolving Bagging Ensembles Using a Spatially-Structured Niching Method | Grant Dick (University of Otago, Information Science Dept.), Caitlin Owen (University of Otago, Information Science Dept.), Peter Whigham (University of Otago, Information Science Dept.) |
EML | Autostacker: A Compositional Evolutionary Learning System | Boyuan Chen (Columbia University), Harvey Wu (Columbia University), Warren Mo (University of Chicago), Ishanu Chattopadhyay (University of Chicago), Hod Lipson (Columbia University) |
EML | A Genetic Algorithm for Finding an Optimal Curing Strategy for Epidemic Spreading in Weighted Networks | Clara Pizzuti (Institute for High Performance Computing and Networking - ICAR National Research Council of Italy - CNR), Annalisa Socievole (Institute for High Performance and Networking - ICAR National Research Council of Italy - CNR) |
EML | Towards an Adaptive Encoding for Evolutionary Data Clustering | Cameron Shand (University of Manchester), Richard Allmendinger (University of Manchester), Julia Handl (University of Manchester), John Keane (University of Manchester) |
EML | Evolved GANs for generating Pareto set approximations | Unai Garciarena (University of the Basque Country), Alexander Mendiburu (University of the Basque Country), Roberto Santana (University of the Basque Country) |
EML | Automatically Evolving Difficult Benchmark Feature Selection Datasets with Genetic Programming | Andrew Lensen (Victoria University of Wellington), Bing Xue (Victoria University of Wellington), Mengjie Zhang (Victoria University of Wellington) |
EML | Evolutionary Expectation Maximization | Enrico Guiraud (University of Oldenburg, CERN), Jakob Drefs (University of Oldenburg), Jörg Lücke (University of Oldenburg) |
EML | Cooperative Multi-Objective Evolutionary Support Vector Machines for Multiclass Problems | Alejandro Rosales-Pérez (Tecnologico de Monterrey), Andres Gutierrez-Rodríguez (Tecnologico de Monterrey), Salvador García (University of Granada), Hugo Terashima-Marín (Tecnologico de Monterrey), Carlos Coello Coello (CINVESTAV-IPN), Francisco Herrera (University of Granada) |
EML | Neuroevolution of Hierarchical Reservoir Computers | Matthew Dale (University of York) |
EML | CovSel: A New Approach for Ensemble Selection Applied to Symbolic Regression Problems | Dominik Sobania (University of Mainz), Franz Rothlauf (University of Mainz) |
EML | Online Meta-Learning by Parallel Algorithm Competition | Stefan Elfwing (ATR), Eiji Uchibe (ATR), Kenji Doya (OIST) |
EML | Combating catastrophic forgetting with developmental compression. | Shawn Beaulieu (University of Vermont), Sam Kriegman (University of Vermont), Josh Bongard (University of Vermont) |
EML | Optimizing Floating Centroids Method Neural Network Classifier Using Dynamic Multilayer Particle Swarm Optimization | Changwei Cai (University of Jinan), Shuangrong Liu (University of Jinan), Lin Wang (University of Jinan), Bo Yang (University of Jinan), Zhenxiang Chen (University of Jinan), Jin Zhou (University of Jinan) |
EML | What About Interpolation? A Radial Basis Function Approach to Classifier Prediction Modeling in XCSF | Anthony Stein (University of Augsburg), Simon Menssen (University of Augsburg), Jörg Hähner (University of Augsburg) |
EML | Efficient Sample Reuse in Policy Search by Multiple Importance Sampling | Eiji Uchibe (Advanced Telecommunications Research Institute International) |
EML | Ensembles of Evolved Nested Dichotomies for Classification | Marcel Wever (Paderborn University), Felix Mohr (Paderborn University), Eyke Hüllermeier (Paderborn University) |
EML | Evolutionary Feature Subspaces Generation for Ensemble Classification | Boyu Zhang (Swinburne University of Technology), A. K. Qin (Swinburne University of Technology), Timos Sellis (Swinburne University of Technology) |
EML | Attribute Tracking: Strategies Towards Improved Detection and Characterization of Complex Associations | Ryan Urbanowicz (University of Pennsylvania), Christopher Lo (University of Pennsylvania), John Holmes (University of Pennsylvania), Jason Moore (University of Pennsylvania) |
EML | NEAT for Large-Scale Reinforcement Learning through Evolutionary Feature Learning and Policy Gradient Search | Yiming Peng (Victoria University of Wellington), Gang Chen (Victoria University of Wellington), Harman Singh (Victoria University of Wellington), Mengjie Zhang (Victoria University of Wellington) |
EML | Memetic Evolution of Deep Neural Networks | Pablo Ribalta Lorenzo (Future Processing, Silesian University of Technology), Jakub Nalepa (Silesian University of Technology, Future Processing) |
EML | Limited Evaluation Cooperative Co-evolutionary Differential Evolution for Large-scale Neuroevolution | Anil Yaman (Technical University of Eindhoven), Decebal Mocanu (Technical University of Eindhoven), Giovanni Iacca (University of Trento), George Fletcher (Technical University of Eindhoven), Mykola Pechenizkiy (Technical University of Eindhoven) |
EML | Theoretical Adaptation of Multiple Rule-Generation in XCS | Masaya Nakata (Yokohama National University), Will Browne (Victoria University of Wellington), Tomoki Hamagami (Yokohama National University) |
EML | Evolutionary Architecture Search for Deep Multitask Networks | Jason Liang (Sentient Technologies Inc., University of Texas at Austin), Elliot Meyerson (Sentient Technologies Inc., University of Texas at Austin), Risto Miikkulainen (Sentient Technologies Inc., University of Texas at Austin) |
EMO | A Steady-State NSGA-II based Multi-objective Multicast Routing Algorithm for Optical Networks | YING XU (Hunan University), YAN ZHOU (Hunan University) |
EMO | A Differential Prediction Model for Evolutionary Dynamic Multiobjective Optimization | Leilei Cao (Tongji University), Lihong Xu (Tongji University), Erik Goodman (Michigan State University), Shuwei Zhu (Tongji University), Hui Li (Xi'an Jiaotong University) |
EMO | Surrogate-assisted Evolutionary Biobjective Optimization for Objectives with Non-uniform Latencies | Tinkle Chugh (University of Exeter, UK; University of Jyväskylä, Finland), Richard Allmendinger (University of Manchester), Vesa Ojalehto (University of Jyväskylä), Kaisa Miettinen (University of Jyväskylä) |
EMO | Dual-Grid Model of MOEA/D for Evolutionary Constrained Multiobjective Optimization | Hisao Ishibuchi (Southern University of Science and Technology), Takafumi Fukase (Osaka Prefecture University), Naoki Masuyama (Osaka Prefecture University), Yusuke Nojima (Osaka Prefecture University) |
EMO | Parallel Pareto Local Search Revisited - First experimental results on Bi-objective UBQP | Jialong Shi (Xi'an Jiaotong University), Qingfu Zhang (City University of Hong Kong), Bilel Derbel (Univ. Lille, Inria Lille - Nord Europe), Arnaud Liefooghe (Univ. Lille, Inria Lille - Nord Europe), Jianyong Sun (Xi'an Jiaotong University) |
EMO | A set-oriented MOEA/D | Bilel Derbel (Univ. Lille, Inria Lille - Nord Europe), Arnaud Liefooghe (Univ. Lille, Inria Lille - Nord Europe), Qingfu Zhang (City University of Hong Kong), Sébastien Verel (Université du Littoral Côte d'Opale), Hernan Aguirre (Shinshu University), Kiyoshi Tanaka (Shinshu University) |
EMO | Less Detectable Environmental Changes in Dynamic Multiobjective Optimisation | Shouyong Jiang (Newcastle University), Marcus Kaiser (Newcastle University), Jinglei Guo (Central China Normal University), Shengxiang Yang (De Montfort University), Natalio Krasnogor (Newcastle University) |
EMO | Component-level study of a decomposition-based multi-objective optimizer on a limited evaluation budget | Oliver Jones (The University of Sheffield), Jeremy Oakley (The University of Sheffield), Robin Purshouse (The University of Sheffield) |
EMO | Efficient Search Techniques Using Adaptive Discretization of Design Variables on Real-Coded Evolutionary Computations | Toshiki Kondo (Tokyo University of Science), Tomoaki Tatsukawa (Tokyo University of Science) |
EMO | A Taxonomy of Methods for Visualizing Pareto Front Approximations | Bogdan Filipic (Jozef Stefan Institute), Tea Tusar (Jozef Stefan Institute) |
EMO | Transfer Strategies from Single- to Multi-objective Grouping Mechanisms | Frederick Sander (Otto-von-Guericke University Magdeburg), Heiner Zille (Otto-von-Guericke University Magdeburg), Sanaz Mostaghim (Otto-von-Guericke University Magdeburg) |
EMO | A new R2 indicator for better hypervolume approximation | Ke Shang (Southern University of Science and Technology, Southeast University), Hisao Ishibuchi (Southern University of Science and Technology, Osaka Prefecture Univeristy), Min-Ling Zhang (Southeast University), Yiping Liu (Osaka Prefecture Univeristy) |
EMO | MOEA/D with Uniformly Randomly Adaptive Weights | Lucas Farias (Universidade Federal de Pernambuco), Pedro Braga (Universidade Federal de Pernambuco), Hansenclever Bassani (Universidade Federal de Pernambuco), Aluizio Araújo (Universidade Federal de Pernambuco) |
EMO | Multi-Objective Evolutionary Hyper-heuristic based on Multiple Indicator-based Density Estimators | Jesús Guillermo Falcón-Cardona (CINVESTAV-IPN), Carlos Artemio Coello Coello (CINVESTAV-IPN) |
EMO | Preference-based 3-Dimensional En-route Airspace Sectorization | Cheryl Wong (Nanyang Technological University), Suresh Sundaram (Nanyang Technological University) |
EMO | Data-Driven Analysis of Pareto Set Topology | Naoki Hamada (Fujitsu Laboratories Ltd.), Keisuke Goto (Fujitsu Laboratories Ltd.) |
EMO | mQAPViz: A divide-and-conquer multi-objective optimization algorithm to compute large data visualizations | Claudio Sanhueza (The University of Newcastle), Francia Jiménez (The University of Newcastle), Regina Berretta (The University of Newcastle), Pablo Moscato (The University of Newcastle) |
EMO | Evolutionary Computation plus Dynamic Programming for the Bi-Objective Travelling Thief Problem | Junhua Wu (The University of Adelaide), Sergey Polyakovskiy (Deakin University), Markus Wagner (The University of Adelaide), Frank Neumann (The University of Adelaide) |
EMO | Collaborative Multi-Objective Optimization for Distributed Design of Complex Products | Joao Antonio Duro (The University of Sheffield), Yiming Yan (The University of Sheffield), Robin C. Purshouse (The University of Sheffield), Peter J. Fleming (The University of Sheffield) |
EMO | Interactive Multiobjective Optimisation: Preference Changes And Algorithm Responsiveness | Kendall Taylor (RMIT University), Xiaodong Li (RMIT University) |
EMO | Directed Mating in Decomposition-based MOEA for Constrained Many-objective Optimization | Minami Miyakawa (Hosei University, JSPS Research Fellow), Hiroyuki Sato (The University of Electro-Communications), Yuji Sato (Hosei University) |
EMO | Generalized Offline Orthant Search: One Code for Many Problems in Multiobjective Optimization | Maxim Buzdalov (ITMO University) |
EMO | Local Search Effects in Bi-Objective Orienteering | Jakob Bossek (University of Münster), Christian Grimme (University of Münster), Stephan Meisel (University of Münster), Günter Rudolph (TU Dortmund University), Heike Trautmann (University of Münster), Heike Trautmann (University of Münster) |
EMO | Improving the Performance of MO-RV-GOMEA on Problems with Many Objectives using Tchebycheff Scalarizations | Ngoc Hoang Luong (Centrum Wiskunde & Informatica (CWI)), Tanja Alderliesten (Academic Medical Center), Peter Bosman (Centrum Wiskunde & Informatica (CWI)) |
EMO | An Improved Version of a Reference-Based Multi-Objective Evolutionary Algorithm based on IGD+ | Edgar Manoatl Lopez (CINVESTAV-IPN), Carlos Coello Coello (CINVESTAV-IPN) |
EMO | Two Enhancements for Improving the Convergence Speed of a Robust Multi-Objective Coevolutionary Algorithm | Alexandru-Ciprian Zavoianu (Department of Knowledge-Based Mathematical Systems, Johannes Kepler University Linz), Susanne Saminger-Platz (Department of Knowledge-Based Mathematical Systems, Johannes Kepler University Linz), Edwin Lughofer (Department of Knowledge-Based Mathematical Systems, Johannes Kepler University Linz), Wolfgang Amrhein (Institute for Electrical Drives and Power Electronics, Johannes Kepler University Linz) |
EMO | Multiobjective Sparse Unmixing Approach with Noise Removal | Xiangming Jiang (The Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University), Maoguo Gong (The Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University), Tao Zhan (The Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University), Zedong Tang (The Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University) |
ENUM | A Novel Similarity-based Mutant Vector Generation Strategy for Differential Evolution | Eduardo Segredo (Edinburgh Napier University, Universidad de La Laguna), Eduardo Lalla-Ruiz (University of Hamburg), Emma Hart (Edinburgh Napier University) |
ENUM | Expanding variational autoencoders for learning and exploiting latent representations in search distributions | Unai Garciarena (University of the Basque Country), Roberto Santana (University of the Basque Country), Alexander Mendiburu (University of the Basque Country) |
ENUM | An Empirical Comparison of Metamodeling Strategies in Noisy Environments | Sunith Bandaru (University of Skövde), Amos Ng (University of Skövde) |
ENUM | Real-Valued Evolutionary Multi-Modal Optimization driven by Hill-Valley Clustering | Stef Maree (Academic Medical Center), Tanja Alderliesten (Academic Medical Center), Dirk Thierens (Utrecht University), Peter Bosman (Centrum Wiskunde & Informatica (CWI)) |
ENUM | Analysis of Information Geometric Optimization with Isotropic Gaussian Distribution Under Finite Samples | Kento Uchida (Yokohama National University), Youhei Akimoto (University of Tsukuba), Shinichi Shirakawa (Yokohama National University) |
ENUM | Learning-Based Topology Variation in Evolutionary Level Set Topology Optimization | Mariusz Bujny (Technical University of Munich), Nikola Aulig (Honda Research Institute Europe GmbH), Markus Olhofer (Honda Research Institute Europe GmbH), Fabian Duddeck (Technical University of Munich) |
ENUM | Adaptive Threshold Parameter Estimation with Recursive Differential Grouping for Problem Decomposition | Yuan Sun (The University of Melbourne), Mohammad Omidvar (The University of Birmingham), Michael Kirley (The University of Melbourne), Xiaodong Li (RMIT University) |
ENUM | Performance Improvements for Evolutionary Strategy-based One-Class Constraint Synthesis | Tomasz Pawlak (Institute of Computing Science, Poznan University of Technology) |
ENUM | Ranking Based Linear Constraint Handling Method with Adaptive Penalty | Naoki Sakamoto (Shinshu University), Youhei Akimoto (University of Tsukuba) |
ENUM | A Global Information Based Adaptive Threshold for Grouping Large Scale Global Optimization Problems | An Chen (Xi'an Jiaotong University), Yipeng Zhang (Xi'an Jiaotong University), Yang Yang (Xi’an Jiaotong University Shenzhen Research School), Zhigang Ren (Xi'an Jiaotong University), Yongsheng Liang (Xi'an Jiaotong University), Bei Pang (Xi'an Jiaotong University) |
ENUM | Drift Theory in Continuous Search Spaces: Expected Hitting Time of the (1+1)-ES with 1/5 Success Rule | Youhei Akimoto (University of Tsukuba), Anne Auger (Inria and Ecole Polytechnique), Tobias Glasmachers (Ruhr-University Bochum) |
ENUM | PSA-CMA-ES: CMA-ES with Population Size Adaptation | Kouhei Nishida (Shinshu University), Youhei Akimoto (University of Tsukuba) |
ENUM | Analysis of Evolution Strategies with the Optimal Weighted Recombination | Chun-kit Au (Toronto, Ontario), Ho-fung Leung (The Chinese University of Hong Kong) |
ENUM | Inheritance-Based Diversity Measures for Explicit Convergence Control in Evolutionary Algorithms | Thomas Gabor (LMU Munich), Lenz Belzner (LMU Munich), Claudia Linnhoff-Popien (LMU Munich) |
GA | Shaper-GA: Automatic Shape Generation for Modular House Design | Ana Maria de Almeida (ISCTE-IUL, CISUC & ISTAR-IUL), Bruno Taborda (ISCTE-IUL, CISUC), Filipe Santos (ISCTE-IUL, ISTAR-IUL), Krystian Kwiecinski (Warsaw University of Technology), Sara Eloy (ISCTE-IUL, ISTAR-IUL) |
GA | Investigation of the Exponential Population Scheme for Genetic Algorithms | Yuen-Jen Lin (National Taiwan University), Tian-Li Yu (National Taiwan University) |
GA | Learning Bayesian Network Structures with GOMEA | Kalia Orphanou (Centrum Wiskunde & Informatica (CWI)), Dirk Thierens (Utrecht University), Peter Bosman (Centrum Wiskunde & Informatica (CWI)) |
GA | Learning an Evolvable Genotype-Phenotype Mapping | Matthew Moreno (Michigan State University), Banzhaf Wolfgang (Michigan State University), Charles Ofria (Michigan State University) |
GA | Fast Algorithm for Fair Comparison of Genetic Algorithms | Chia-Sheng Chen (National Taiwan University), Hung-Wei Hsu (National Taiwan University), Tian-Li Yu (National Taiwan University) |
GA | Discrepancy-Based Evolutionary Diversity Optimization | Aneta Neumann (The University of Adelaide), Wanru Gao (The University of Adelaide), Carola Doerr (CNRS and Sorbonne Universite), Frank Neumann (The University of Adelaide), Markus Wagner (The University of Adelaide) |
GA | Runtime Analysis of Probabilistic Crowding and Restricted Tournament Selection for Bimodal Optimisation | Edgar Covantes Osuna (The University of Sheffield), Dirk Sudholt (The University of Sheffield) |
GA | Tunneling Between Plateaus: Improving on a State-of-the-Art MAXSAT Solver using Partition Crossover | Wenxiang Chen (Colorado State University), Darrell Whitley (Colorado State University, Computer Science), Francisco Chicano (University of Málaga), Renato Tinos (University of Saõ Paulo) |
GA | Grammatical Evolution Algorithm for Evolution of Swarm Behaviors | Aadesh Neupane (Brigham Young University), Michael Goodrich (Brigham Young University), Eric Mercer (Brigham Young University) |
GA | Serendipitous Scaffolding to improve a Genetic Algorithm's Speed and Quality | Heather Goldsby (Michigan State University), Rebecca Young (University of Texas at Austin), Jory Schossau (Michigan State University), Hans Hofmann (University of Texas at Austin), Arend Hintze (Michigan State University) |
GA | Towards a Theory-Guided Benchmarking Suite for Discrete Black-Box Optimization: Profiling $(1+lambda)$ EA Variants on OneMax and LeadingOnes | Carola Doerr (CNRS and Sorbonne University), Furong Ye (Leiden University), Sander van Rijn (Leiden University), Hao Wang (Leiden University), Thomas Bäck (Leiden University) |
GA | Simple On-the-Fly Parameter Selection Mechanisms for Two Classical Discrete Black-Box Optimization Benchmark Problems | Carola Doerr (Sorbonne University, CNRS), Markus Wagner (The University of Adelaide) |
GA | On the Runtime Dynamics of the Compact Genetic Algorithm on Jump Functions | Václav Hasenöhrl (University of Minnesota Duluth), Andrew Sutton (University of Minnesota Duluth) |
GA | Analysis of the use of genetic algorithms for indoor localisation via cloud point matching | Miguel Boland (University of York), Leandro Indrusiak (University of York) |
GECH | On the Runtime Analysis of Selection Hyper-Heuristics with Adaptive Learning Periods | Benjamin Doerr (Ecole Polytechnique, Laboratoire d'Informatique (LIX)), Andrei Lissovoi (University of Sheffield), Pietro Oliveto (University of Sheffield), John Warwicker (University of Sheffield) |
GECH | Sequential Sampling for Noisy Optimisation with CMA-ES | Matthew Groves (University of Warwick), Juergen Branke (University of Warwick) |
GECH | Expected Improvement of Constraint Violation for Expensive Constrained Optimization | Ruwang Jiao (China University of Geosciences), Sanyou Zeng (China University of Geosciences), Changhe Li (China University of Geosciences, Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems), Yuhong Jiang (China University of Geosciences), Junchen Wang (China University of Geosciences) |
GECH | Memetic Algorithms Beat Evolutionary Algorithms on the Class of Hurdle Problems | Phan Trung Hai Nguyen (University of Birmingham), Dirk Sudholt (University of Sheffield) |
GECH | Changing or Keeping Solutions in Dynamic Optimization Problems with Switching Costs | Danial Yazdani (LJMU), Juergen Branke (Warwick Business School), Mohammad Nabi Omidvar (CERCIA), Trung Thanh Nguyen (LJMU), Xin Yao (CERCIA) |
GECH | Neural Estimation of Interaction Outcomes | Paweł Liskowski (Poznan University of Technology/Laboratory of Intelligent Decision Support Systems), Bartosz Wieloch (Poznan University of Technology/Laboratory of Intelligent Decision Support Systems), Krzysztof Krawiec (Poznan University of Technology/Laboratory of Intelligent Decision Support Systems) |
GECH | Termination Detection Strategies in Evolutionary Algorithms: A Survey | Yanfeng Liu (East China Normal University), Aimin Zhou (East China Normal University), Hu Zhang (Beijing Electro-mechanical Engineering Institute) |
GECH | Cooperative Co-evolution with Online Optimizer Selection for Large-Scale Optimization | Yuan Sun (The University of Melbourne), Michael Kirley (The University of Melbourne), Xiaodong Li (RMIT University) |
GECH | Working Principles of Binary Differential Evolution | Weijie Zheng (Department of Computer Science and Technology, Tsinghua University), Guangwen Yang (Department of Computer Science and Technology, Tsinghua University), Benjamin Doerr (Ecole Polytechnique, Laboratoire d'Informatique (LIX)) |
GECH | Adaptive Asynchrony in Semi-Asynchronous Evolutionary Algorithm Based on Performance Prediction Using Search History | Tomohiro Harada (Ritsumeikan University) |
GECH | Talakat: Bullet Hell Generation through Constrained Map-Elites | Ahmed Khalifa (New York University), Scott Lee (New York University), Andy Nealen (New York University), Julian Togelius (New York University) |
GECH | Quasi-Bistability of Walk-Based Landscape Measures in Stochastic Fitness Landscapes | Bernhard Werth (Heuristic and Evolutionary Algorithms Laboratory, University of Applied Sciences Upper Austria; Institute for Formal Models and Verification,Johannes Keppler University Linz), Erik Pitzer (Heuristic and Evolutionary Algorithms Laboratory, University of Applied Sciences Upper Austria), Gerald Ostermayer (Research Group Networks and Mobility, University of Applied Sciences Upper Austria), Michael Affenzeller (Heuristic and Evolutionary Algorithms Laboratory, University of Applied Sciences Upper Austria; Institute for Formal Models and Verification,Johannes Keppler University Linz) |
GP | An Analysis of the Bias of Variation Operators of Estimation of Distribution Programming | Dirk Schweim (Johannes Gutenberg University Mainz), Franz Rothlauf (Johannes Gutenberg University Mainz) |
GP | Neuro-Guided Genetic Programming: Prioritizing Evolutionary Search with Neural Networks | Paweł Liskowski (Poznan University of Technology/Laboratory of Intelligent Decision Support Systems), Iwo Błądek (Poznan University of Technology/Laboratory of Intelligent Decision Support Systems), Krzysztof Krawiec (Poznan University of Technology/Laboratory of Intelligent Decision Support Systems) |
GP | Towards Effective Semantic Operators for Program Synthesis in Genetic Programming | Stefan Forstenlechner (University College Dublin), David Fagan (University College Dublin), Miguel Nicolau (University College Dublin), Michael O'Neill (University College Dublin) |
GP | Schema-based Diversification in Genetic Programming | Bogdan Burlacu (University of Applied Sciences Upper Austria), Michael Affenzeller (University of Applied Sciences Upper Austria) |
GP | Genetic Programming Approach to Learning Multi-pass Heuristics for Resource Constrained Job Scheduling | SU Nguyen (La Trobe University), Dhananjay Thiruvady (Monash University), Andreas Ernst (Monash University), Damminda Alahakoon (La Trobe University) |
GP | Solving the Exponential Growth of Symbolic Regression Trees in Geometric Semantic Genetic Programming | Joao Francisco Martins (Universidade Federal de Minas Gerais), Luiz Otavio Oliveira (Universidade Federal de Minas Gerais), Luis Fernando Miranda (Universidade Federal de Minas Gerais), Felipe Casadei (Universidade Federal de Minas Gerais), Gisele Pappa (Universidade Federal de Minas Gerais) |
GP | Where are we now? A large benchmark study of recent symbolic regression methods | Patryk Orzechowski (University of Pennsylvania), William La Cava (University of Pennsylvania), Jason Moore (University of Pennsylvania) |
GP | Measuring Evolvability and Accessibility using the Hyperlink-Induced Topic Search Algorithm | Kyle Nickerson (Memorial University), Yuanzhu Chen (Memorial University), Feng Wang (Wuhan University), Ting Hu (Memorial University) |
GP | Evolving Event-driven Programs with SignalGP | Alexander Lalejini (Michigan State University, BEACON Center for the Study of Evolution in Action), Charles Ofria (Michigan State University, BEACON Center for the Study of Evolution in Action) |
GP | Adaptive Charting Genetic Programming for Dynamic Flexible Job Shop Scheduling | Su Nguyen (La Trobe University), Mengjie Zhang (Victoria University of Wellington), Kay Chen Tan (City University of Hong Kong), Damminda Alahakoon (La Trobe University) |
GP | Program Synthesis using Uniform Mutation by Addition and Deletion | Thomas Helmuth (Hamilton College), Nicholas McPhee (University of Minnesota, Morris), Lee Spector (Hampshire College) |
RWA | Large-Scale Parallelization of Partial Evaluations in Evolutionary Algorithms for Real-World Problems | Anton Bouter (Centrum Wiskunde & Informatica), Tanja Alderliesten (Academic Medical Center), Arjan Bel (Academic Medical Center), Cees Witteveen (Delft University of Technology), Peter Bosman (Centrum Wiskunde & Informatica) |
RWA | A Detailed Comparison of Meta-Heuristic Methods for Optimising Wave Energy Converter Positions | Mehdi Neshat (Optimization and Logistics Group, School of Computer Science, The University of Adelaide), Bradley Alexander (Optimization and Logistics Group, School of Computer Science, The University of Adelaide), Markus Wagner (Optimization and Logistics Group, School of Computer Science, The University of Adelaide), Yuanzhong Xia (Optimization and Logistics Group, School of Computer Science, The University of Adelaide) |
RWA | Investigation of the Latent Space of Stock Market Patterns with Genetic Programming | Sungjoo Ha (Seoul National University), Sangyeop Lee (Seoul National University), Byung-Ro Moon (Seoul National University) |
RWA | Genetic Programming for Tuberculosis Screening from Raw X-ray Images | Armand Burks (Michigan State University), William Punch (Michigan State University) |
RWA | Genetic Algorithm to Study Practical Quantum Adversaries | Walter Krawec (University of Connecticut), Sam Markelon (University of Connecticut) |
RWA | Benchmarking Evolutionary Computation Approaches to Insider Threat Detection | Duc Le (Dalhousie University), Sara Khanchi (Dalhousie University), A. Nur Zincir-Heywood (Dalhousie University), Malcolm Heywood (Dalhousie University) |
RWA | Impacts of Constraints and Constraint Handling Strategies for Multi-Objective Mechanical Design Problems | Cyril Picard (École Polytechnique Fédérale de Lausanne), Jürg Schiffmann (École Polytechnique Fédérale de Lausanne) |
RWA | Evolving the Autosteering of a Car Featuring a Realistically Simulated Steering Response | Vsevolod Nikulin (Doshisha University), Albert Podusenko (Doshisha University), Ivan Tanev (Doshisha University), Katsunori Shimohara (Doshisha University) |
RWA | Evolving Boolean Functions for Fast and Efficient Randomness Testing | Vojtech Mrazek (Brno University of Technology), Marek Sýs (Masaryk University Brno), Zdenek Vasicek (Brno University of Technology), Lukas Sekanina (Brno University of Technology), Vashek Matyas (Masaryk University Brno) |
RWA | Orthogonalization of Linear Representations for Efficient Evolutionary Design Optimization | Andreas Richter (Bielefeld University), Stefan Dresselhaus (Bielefeld University), Stefan Menzel (Honda Research Institute Europe GmbH), Mario Botsch (Bielefeld University) |
RWA | Estimating Cement Compressive Strength from Microstructural Images using GEP with Probabilistic Polarized Similarity Weight Tournament Selection | Liangliang Zhang (University of Jinan), Xinya Yue (University of Jinan), Lin Wang (University of Jinan), Bo Yang (University of Jinan) |
RWA | Surrogate assisted optimization of particle reinforced metal matrix composites | Lorenzo Gentile (TH Köln - University of Applied Sciences), Martin Zaefferer (TH Köln - University of Applied Sciences), Dario Giugliano (University of Strathclyde), Haofeng Chen (University of Strathclyde), Thomas Bartz-Beielstein (TH Köln - University of Applied Sciences) |
RWA | Value-Based Manufacturing Optimisation in Serverless Clouds for Industry 4.0 | Piotr Dziurzanski (University of York), Jerry Swan (University of York), Leandro Soares Indrusiak (University of York) |
RWA | Functional Generative Design: An Evolutionary Approach to 3D-Printing | Cem Tutum (The University of Texas at Austin), Supawit Chockchowwat (The University of Texas at Austin), Etienne Vouga (The University of Texas at Austin), Risto Miikkulainen (The University of Texas at Austin, Sentient Technologies Inc.) |
RWA | Informed Mutation Operator using Machine Learning for Optimization in Epidemics Prevention | Krzysztof Michalak (Wroclaw University of Economics) |
RWA | Estimation of the Heterogeneous Strategies from Action Log | Keiichi Namikoshi (Chiba University), Sachiyo Arai (Chiba University) |
RWA | Optimizing Residential Energy Resources with an Improved Multi-Objective Genetic Algorithm based on Greedy Mutations | Ivo Gonçalves (INESC Coimbra, DEEC, University of Coimbra), Álvaro Gomes (INESC Coimbra, DEEC, University of Coimbra), Carlos Henggeler Antunes (INESC Coimbra, DEEC, University of Coimbra) |
RWA | Better and Faster Catheter Position Optimization in HDR Brachytherapy for Prostate Cancer using Multi-Objective Real-Valued GOMEA | Marjolein van der Meer (Academic Medical Center), Bradley Pieters (Academic Medical Center), Yury Niatsetski (Elekta), Tanja Alderliesten (Academic Medical Center), Arjan Bel (Academic Medical Center), Peter Bosman (Centrum Wiskunde & Informatica) |
RWA | A GA based Network Optimization Tool for Passive In-Building Distributed Antenna Systems | Siddhartha Shakya (EBTIC, Khalifa University), Kin Poon (EBTIC, Khalifa University), Anis Ouali (EBTIC, Khalifa University) |
RWA | Symbolic Regression and Feature Construction with GP-GOMEA applied to Radiotherapy Dose Reconstruction of Childhood Cancer Survivors | Marco Virgolin (Centrum Wiskunde & Informatica), Tanja Alderliesten (Academic Medical Center), Arjan Bel (Academic Medical Center), Cees Witteveen (Delft University of Technology), Peter Bosman (Centrum Wiskunde & Informatica (CWI)) |
RWA | Comparison of Parallel Surrogate-Assisted Optimization Approaches | Frederik Rehbach (TH Köln), Martin Zaefferer (TH Köln), Jörg Stork (TH Köln), Thomas Bartz-Beielstein (TH Köln) |
RWA | Rate-Setter : Roadmap for Faster, Safer, and Better Platform Train Interface Design and Operation using Evolutionary Optimization | David Fletcher (The University of Sheffield), Rob Harrison (The University of Sheffield), Twin Karmakharm (The University of Sheffield), Paul Richmond (The University of Sheffield), Samadhi Nallaperuma (The University of Sheffield) |
RWA | A Genetic Programming based Iterated Local Search for Software Project Scheduling | Nasser Sabar (La Trobe University), Ayad Turky (RMIT University), Andy Song (RMIT University) |
RWA | Multi-Objective Journey Planning Under Uncertainty: A Genetic Approach | Mohammad Haqqani (RMIT University), Xiaodong Li (RMIT University), Xinghuo Yu (RMIT University) |
RWA | A Rolling Window with Genetic Algorithm Approach to Sorting Aircraft for Automated Taxi Routing | Alexander Brownlee (University of Stirling), John Woodward (Queen Mary University of London), Michal Weiszer (Queen Mary University of London), Jun Chen (Queen Mary University of London) |
RWA | Predicting Friction System Performance with Symbolic Regression and Genetic Programming with Factor Variables | Gabriel Kronberger (University of Applied Sciences Upper Austria; School of Informatics, Communications and Media), Michael Kommenda (University of Applied Sciences Upper Austria), Andreas Promberger (Miba Frictec), Falk Nickel (Miba Frictec) |
RWA | Multi-Objective Aerodynamic Design with User Preference using Truncated Expected Hypervolume Improvement | Pramudita Palar (Tohoku University), Kaifeng Yang (Leiden University), Koji Shimoyama (Tohoku University), Michael Emmerich (Leiden University), Thomas Bäck (Leiden University) |
SBSE | Dependent Input Sampling Strategies: Using Metaheuristics for Generating Parameterised Random Sampling Regimes | Komsan Srivisut (University of York), John Clark (University of Sheffield), Richard Paige (University of York) |
SBSE | On the Effects of Seeding Strategies: A Case for Search-based Multi-Objective Service Composition | Tao Chen (Department of Computing and Technology, Nottingham Trent University, UK; CERCIA, School of Computer Science, University of Birmingham, UK), Miqing Li (CERCIA, School of Computer Science, University of Birmingham, UK), Xin Yao (Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen, China; CERCIA, School of Computer Science, University of Birmingham, UK) |
SBSE | Multi-Objective Black-Box Test Case Selection for Cost-Effectively Testing Simulation Models | Aitor Arrieta (Mondragon University), Shuai Wang (Simula Research Laboratory), Ainhoa Arruabarrena (Mondragon University), Urtzi Markiegi (Mondragon University), Goiuria Sagardui (Mondragon University), Leire Etxeberria (Mondragon University) |
SBSE | A Novel Fitness Function for Automated Program Repair Based on Source Code Checkpoints | Eduardo Souza (Universidade Federal de Goiás), Celso Camilo-Junior (Universidade Federal de Goiás), Claire Le Goues (Carnegie Mellon University) |
SBSE | Test suite minimization for mutation testing of WS-BPEL compositions | Francisco Palomo-Lozano (Universidad de Cádiz), Inmaculada Medina-Bulo (Universidad de Cádiz), Antonia Estero-Botaro (Universidad de Cádiz), Manuel Núñez (Universidad Complutense de Madrid) |
SBSE | Towards the Automated Recovery of Complex Temporal API-Usage Patterns | Mohamed Aymen Saied (Concordia University), Houari Sahraoui (DIRO, Université de Montréal), Edouard Batot (DIRO, Université de Montréal), Michalis Famelis (DIRO, Université de Montréal), Pierre-Olivier Talbot (DIRO, Université de Montréal) |
Theory | Significance-based Estimation-of-Distribution Algorithms | Benjamin Doerr (École Polytechnique, Laboratoire d'Informatique (LIX)), Martin Krejca (Hasso Plattner Institute) |
Theory | Analysis of Noisy Evolutionary Optimization When Sampling Fails | Chao Qian (University of Science and Technology of China), Chao Bian (University of Science and Technology of China), Yang Yu (Nanjing University), Ke Tang (Southern University of Science and Technology), Xin Yao (Southern University of Science and Technology) |
Theory | Domino Convergence: Why One Should Hill-Climb on Linear Functions | Carsten Witt (Technical University Of Denmark) |
Theory | Medium Step Sizes are Harmful for the Compact Genetic Algorithm | Johannes Lengler (ETH Zürich), Dirk Sudholt (The University of Sheffield), Carsten Witt (Technical University Of Denmark) |
Theory | The linear hidden subset problem for the (1+1) EA with scheduled and adaptive mutation rates | Hafsteinn Einarsson (ETH Zurich), Marcelo Matheus Gauy (ETH Zurich), Johannes Lengler (ETH Zurich), Florian Meier (ETH Zurich), Asier Mujika (ETH Zurich), Angelika Steger (ETH Zurich), Felix Weissenberger (ETH Zurich) |
Theory | Runtime Analysis for Self-adaptive Mutation Rates | Benjamin Doerr (Ecole Polytechnique, Laboratoire d'Informatique (LIX)), Carsten Witt (Technical University of Denmark), Jing Yang (Ecole Polytechnique, Laboratoire d'Informatique (LIX)) |
Theory | Crossover Can Simulate Bounded Tree Search on a Fixed-Parameter Tractable Optimization Problem | Andrew Sutton (University of Minnesota Duluth) |
Theory | On the Robustness of Evolutionary Algorithms to Noise: Refined Results and an Example Where Noise Helps | Dirk Sudholt (University of Sheffield) |
Theory | A New Analysis Method for Evolutionary Optimization of Dynamic and Noisy Objective Functions | Raphaël Dang-Nhu (École Polytechnique), Thibault Dardinier (École Polytechnique), Benjamin Doerr (Ecole Polytechnique, Laboratoire d'Informatique (LIX)), Gautier Izacard (École Polytechnique), Dorian Nogneng (École Polytechnique, Laboratoire d'Informatique (LIX)) |
Theory | Runtime Analysis of Randomized Search Heuristics for the Dynamic Weighted Vertex Cover Problem | Feng Shi (Central South University), Frank Neumann (The University of Adelaide), Jianxin Wang (Central South University) |
Theory | A Tight Runtime Analysis for the $(mu+lambda)$ EA | Denis Antipov (ITMO University), Benjamin Doerr (Ecole Polytechnique, Laboratoire d'Informatique (LIX)), Jiefeng Fang (Ecole Polytechnique), Tangi Hetet (Ecole Polytechnique) |