Track | Title | Authors |
---|---|---|
WS EAPU | A Framework for High-Dimensional Robust Evolutionary Multi-Objective Optimization | Wei Du (East China University of Science and Technology), Le Tong (Shanghai Normal University), Yang Tang (East China University of Science and Technology) |
WS EAPU | Robust Multi-Modal Optimisation | Khulood Alyahya (University of Exeter), Kevin Doherty (University of Exeter), Ozgur Akman (University of Exeter), Jonathan Fieldsend (University of Exeter) |
WS EAPU | Exploration of the Effect of Uncertainty in Homogeneous and Heterogeneous Multi-agent Societies With Regard to their Average Characteristics | Milen Georgiev (Doshisha University), Ivan Tanev (Doshisha University), Katsunori Shimohara (Doshisha University) |
WS SecDef | Machine Learning – Based Detection of Water Contamination in Water Distribution Systems | Hadi Mohammed (Norwegian University of Science and Technology), Ibrahim Hameed (Norwegian University of Science and Technology), Razak Seidu (Norwegian University of Science and Technology) |
WS SecDef | A Genetic Algorithm for Dynamic Controller Placement in Software Defined Networking | Samuel Champagne (Dalhousie University), Tokunbo Makanju (New York Institute of Technology), Chengchao Yao (Dalhousie University), Nur Zincir-Heywood (Dalhousie University), Malcolm Heywood (Dalhousie University) |
WS SecDef | Using Evolutionary Dynamic Optimization for Monitor Selection in Highly Dynamic Communication Infrastructures | Robin Mueller-Bady (Frankfurt University of Applied Sciences), Martin Kappes (Frankfurt University of Applied Sciences), Francisco Palomo-Lozano (University of Cadiz), Inmaculada Medina-Bulo (University of Cadiz) |
WS SecDef | Automated Design of Network Security Metrics | Aaron Pope (Missouri University of Science and Technology, Los Alamos National Laboratory), Robert Morning (Los Alamos National Laboratory), Daniel Tauritz (Missouri University of Science and Technology), Alexander Kent (Medtronic) |
WS SecDef | Evolution of Network Enumeration Strategies in Emulated Computer Networks | Sean Harris (Missouri University of Science and Technology), Eric Michalak (Los Alamos National Laboratory), Kevin Schoonover (Missouri University of Science and Technology), Adam Gausmann (Missouri University of Science and Technology), Hannah Reinbolt (Missouri University of Science and Technology), Joshua Herman (Missouri University of Science and Technology), Daniel Tauritz (Missouri University of Science and Technology), Chris Rawlings (Los Alamos National Laboratory), Aaron Pope (Missouri University of Science and Technology) |
WS SecDef | Genetic Algorithms for Role Mining in Critical Infrastructure Data Spaces | Igor Saenko (ITMO University), Igor Kotenko (St. Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences (SPIIRAS), ITMO University) |
WS SecDef | Adversarial Co-evolution of Attack and Defense in a Segmented Computer Network Environment | Erik Hemberg (MIT CSAIL), Joseph Zipkin (MIT Lincoln Lab), Richard Skowyra (MIT Lincoln Lab), Neal Wagner (MIT Lincoln Lab), Una-May O'Reilly (MIT CSAIL) |
WS SecDef | Real-Time Strategy Game Micro for Tactical Training Simulations | Sushil Louis (Department of Computer Science; University of Nevada, Reno), Siming Liu (Department of Computer Science; University of Nevada, Reno), Tianyi Jiang (Department of Computer Science; University of Nevada, Reno) |
WS BB-DOB | Parameterization of State-of-the-Art Performance Indicators: A Robustness Study Based on Inexact TSP Solvers | Pascal Kerschke (University of Münster), Jakob Bossek (University of Münster), Heike Trautmann (University of Münster) |
WS BB-DOB | Difficult Features of Combinatorial Optimization Problems and the Tunable W-Model Benchmark Problem for Simulating them | Thomas Weise (Hefei University), Zijun Wu (Hefei University) |
WS BB-DOB | Compiling a Benchmarking Test-Suite for Combinatorial Black-Box Optimization: A Position Paper | Ofer Shir (Tel-Hai College, The Galilee Research Institute - Migal), Carola Doerr (Sorbonne Universite, CNRS, LIP6), Thomas Bäck (Leiden University) |
WS BB-DOB | Discrete Real-world Problems in a Black-box Optimization Benchmark | Sebastian Raggl (University of Applied Sciences Upper Austria), Andreas Beham (University of Applied Sciences Upper Austria, Johannes Kepler University), Viktoria Hauder (University of Applied Sciences Upper Austria, Johannes Kepler University), Stefan Wagner (University of Applied Sciences Upper Austria), Michael Affenzeller (University of Applied Sciences Upper Austria, Johannes Kepler University) |
WS BB-DOB | A Generic Problem Instance Generator for Discrete Optimization Problems | Markus Ullrich (University of Applied Sciences Zittau/Görlitz), Thomas Weise (University of Science and Technology of China), Abhishek Awasthi (University of Applied Sciences Zittau/Görlitz), Jörg Lässig (University of Applied Sciences Zittau/Görlitz) |
WS BB-DOB | A Black-Box Discrete Optimization Benchmarking (BB-DOB) Pipeline Survey: Taxonomy, Evaluation, and Ranking | Ales Zamuda (University of Maribor), Christine Zarges (Aberystwyth University), Miguel Nicolau (University College Dublin) |
WS BBOB | Benchmarking the PSA-CMA-ES on the BBOB Noiseless Testbed | Kouhei Nishida (Shinshu University), Youhei Akimoto (University of Tsukuba) |
WS BBOB | Benchmarking a Variant of the CMAES-APOP on the BBOB Noiseless Testbed | Duc Manh Nguyen (Department of Mathematics and Informatics, Hanoi National University of Education, 136 Xuan Thuy, Cau Giay, Hanoi, Vietnam; Sorbonne Université, IRD, JEAI WARM, Unité de Modélisation Mathématiques et Informatique des Systèmes Complexes, UMMISCO, F-93143, Bondy, France) |
WS BBOB | Stopping Criteria, Initialization, and Implementations of BFGS and their Effect on the BBOB Test Suite | Aurore Blelly (Ecole Polytechnique), Matheus Felipe-Gomes (Ecole Polytechnique), Anne Auger (Inria; CMAP, Ecole Polytechnique), Dimo Brockhoff (Inria; CMAP, Ecole Polytechnique) |
WS BBOB | Comparing Black-Box Differential Evolution and Classic Differential Evolution | Aljosa Vodopija (Jozef Stefan Institute, Jozef Stefan International Postgraduate School), Tea Tusar (Jozef Stefan Institute), Bogdan Filipic (Jozef Stefan Institute, Jozef Stefan International Postgraduate School) |
WS DTEO | A Cooperative Co-evolutionary Algorithm for Large-Scale Multi-Objective Optimization Problems | Minghan Li (Xidian University), Jingxuan Wei (Xidian University) |
WS DTEO | Selfish vs. Global Behavior Promotion in Car Controller Evolution | Jacopo Talamini (DIA, University of Trieste), Giovanni Scaini (DIA, University of Trieste), Eric Medvet (DIA, University of Trieste), Alberto Bartoli (DIA, University of Trieste) |
WS DTEO | A Historical Interdependency based Differential Grouping Algorithm for Large Scale Global Optimization | An Chen (Autocontrol Institute, Xi’an Jiaotong University), Zhigang Ren (Autocontrol Institute, Xi’an Jiaotong University), Yang Yang (Xi’an Jiaotong University Shenzhen Research School), Yongsheng Liang (Autocontrol Institute, Xi’an Jiaotong University), Bei Pang (Autocontrol Institute, Xi’an Jiaotong University) |
WS DTEO | Decomposition-Based Multiobjective Particle Swarm Optimization for Change Detection in SAR Images | Tao Zhan (Xidian University), Zedong Tang (Xidian University), Maoguo Gong (Xidian University), Xiangming Jiang (Xidian University), Jiao Shi (Northwestern Polytechnical University) |
WS EABDMCP | Multi-objective Feature Selection for EEG Classification with Multi-Level Parallelism on Heterogeneous CPU-GPU Clusters | Juan José Escobar (University of Granada), Julio Ortega (University of Granada), Antonio Francisco Díaz (University of Granada), Jesús González (University of Granada), Miguel Damas (University of Granada) |
WS EABDMCP | Mapping evolutionary algorithms to a reactive, stateless architecture | JJ Merelo (University of Granada), José-Mario García Valdez (Instituto Tecnológico de Tijuana) |
WS ECADA | The Automated Design of Probabilistic Selection Methods for Evolutionary Algorithms | Samuel Richter (Missouri University of Science and Technology), Daniel Tauritz (Missouri University of Science and Technology) |
WS ECHNS | Can evolutionary computing be applied to dementia care? | Taro Sugihara (Okayama University) |
WS ECHNS | Framework for planning the training sessions in triathlon | Iztok Fister (University of Maribor), Janez Brest (University of Maribor), Andres Iglesias (University of Cantabria), Iztok Fister (University of Maribor) |
WS ECHNS | Development of an Evaluation System for Upper Limb Function Using AR Technology | Yunan He (Saga University), Ikushi Sawada (Saga University), Osamu Fukuda (Saga University), Ryusei Shima (Saga University), Nobuhiko Yamaguchi (Saga University), Hiroshi Okumura (Saga University) |
WS ECHNS | Classifier Generalization for Comprehensive Classifiers Subsumption in XCS | Caili Zhang (The University of Electro-Communications), Takato Tatsumi (The University of Electro-Communications), Hiyoyuki Sato (The University of Electro-Communications), Tim Kovacs (University of Bristol), Keiki Takadama (The University of Electro-Communications) |
WS ECHNS | CATARO: A Robot that Tells Caregivers a Patient’s Current Non-Critical Condition Indirectly | Patrick Hock (Saga University), Chika Oshima (Saga University), Koichi Nakayama (Saga University) |
WS ECHNS | Envy based Fairness in Hedonic Games | Suguru Ueda (Saga University) |
WS ECHNS | Sustainable Sensor Network Architecture for Monitoring Human Activities | Ren Ohmura (Toyohashi University of Technology) |
WS EiC | Meta Learning by the Baldwin Effect | Chrisantha Fernando (Google DeepMind), Jakub Sygnowski (Google DeepMind), Simon Osindero (Google DeepMind), Jane Wang (Google DeepMind), Tom Schaul (Google DeepMind), Denis Teplyashin (Google DeepMind), Pablo Sprechmann (Google DeepMind), Alexander Pritzel (Google DeepMind), Andrei Rusu (Google DeepMind) |
WS EiC | The Flouted Naming Game: Contentions and Conventions in Culture | Harold de Vladar (Konrad Lorenz Institute, Hungarian Academy of Sciences) |
WS EIEHSCoEvo | Evolving Hardware Instinctive Behaviors in Resource-scarce Agent Swarms Exploring Hard-to-reach Environments | Martin Andraud (KU Leuven), Ahmed Hallawa (RWTH Aachen University), Jaro De Roosa (KU Leuven), Eugenio Cantatore (TU Eindhoven), Gerd Ascheid (RWTH Aachen University), Marian Verhelst (KU Leuven) |
WS EIEHSCoEvo | A Distributed Epigenetic Shape Formation and Regeneration Algorithm for a Swarm of Robots | Rahul Mishra (Indian Institute of Technology Guwahati), Tushar Semwal (Indian Institute of Technology Guwahati), Shivashankar Nair (Indian Institute of Technology Guwahati) |
WS EvoSoft | A Generic Distributed Microservices and Container based Framework for Metaheuristic Optimization | Hatem Khalloof (Karlsruhe Institute of Technology, IAI), Wilfried Jakob (Karlsruhe Institute of Technology, IAI), Jianlei Liu (Karlsruhe Institute of Technology, IAI), Eric Braun (Karlsruhe Institute of Technology, IAI), Shadi Shahoud (Karlsruhe Institute of Technology, IAI), Clemens Duepmeier (Karlsruhe Institute of Technology, IAI), Veit Hagenmeyer (Karlsruhe Institute of Technology, IAI) |
WS EvoSoft | Evo-ROS: Integrating Evolution and the Robot Operating System | Glen Simon (Michigan State University), Jared Moore (Grand Valley State University), Anthony Clark (Missouri State University), Philip McKinley (Michigan State University) |
WS EvoSoft | Performance improvements of evolutionary algorithms in Perl 6 | JJ Merelo (University of Granada), José-Mario García Valdez (Instituto Tecnológico de Tijuana) |
WS EvoSoft | Review: A Web-Based Simulation Viewer for Sharing Evolutionary Robotics Results | Anthony Clark (Missouri State University), Jared Moore (Grand Valley State University) |
WS EvoSoft | Plushi: An Embeddable, Language Agnostic, Push Interpreter | Edward Pantridge (MassMutual Financial Group, Hampshire College), Lee Spector (Hampshire College) |
WS EvoSoft | Performance Assessment of Multi-Objective Evolutionary Algorithms With the R Package ecr | Jakob Bossek (University of Münster) |
WS GI 2018 | Novelty Search for software improvement of a SLAM system | Victor López-López (Instituto Tecnológico de Tijuana), Leonardo Trujillo (Instituto Tecnológico de Tijuana), Pierrick Legrand (Université de Bordeaux) |
WS GI 2018 | Genetic Configuration Sampling: Learning a Sampling Strategy for Fault Detection of Configurable Systems | Jifeng Xuan (Wuhan University), Yongfeng Gu (Wuhan University), Zhilei Ren (Dalian University of Technology), Xiangyang Jia (Wuhan University), Qingna Fan (HY Cross-Domain) |
WS GI 2018 | Synthesizing Customized Network Protocols using Genetic Programming | Mohammad Roohitavaf (Michigan State University), Ling Zhu (Michigan State University), Sandeep Kulkarni (Michigan State University), Subir Biswas (Michigan State University) |
WS GI 2018 | Assessing Single-Objective Performance Convergence and Time Complexity for Refactoring Detection | David Nader-Palacio (Universidad Nacional de Colombia), Daniel Rodríguez-Cárdenas (Universidad del Rosario, Universidad Nacional de Colombia), Jonatan Gomez Perdomo (Universidad Nacional de Colombia) |
WS GI 2018 | Dynamic Fitness Functions for Genetic Improvement in Compilers and Interpreters | Oliver Krauss (Johannes Kepler University Linz, University of Applied Sciences Upper Austria), Hanspeter Mössenböck (Johannes Kepler University Linz), Michael Affenzeller (University of Applied Sciences Upper Austria) |
WS GI 2018 | Towards Modular Large-Scale Darwinian Software Improvement | Michael Orlov (Shamoon College of Engineering) |
WS IAM | Generating Interpretable Fuzzy Controllers using Particle Swarm Optimization and Genetic Programming | Daniel Hein (Siemens AG, Munich; Technical University of Munich), Steffen Udluft (Siemens AG, Munich), Thomas Runkler (Siemens AG, Munich; Technical University of Munich) |
WS IOMES | Multiobjective Evolutionary Polygonal Approximation for Identifying Crude Oil Reservoirs | José Luis Guerrero (Universidad Carlos III de Madrid), Luis Martí (Universidade Federal Fluminense), Nayat Sanchez-Pi (Rio de Janeiro State University), Antonio Berlanga (Universidad Carlos III de Madrid), José Manuel Molina (Universidad Carlos III de Madrid) |
WS IOMES | Crude Oil Refinery Scheduling: Addressing a Real-World Multiobjective Problem through Genetic Programming and Dominance-based Approaches | Cristiane Pereira (Petrobras, Pontifical Catholic University of Rio de Janeiro), Douglas Dias (Rio de Janeiro State University), Marley Vellasco (Pontifical Catholic University of Rio de Janeiro), Francisco Henrique Viana (Celso Suckow da Fonseca Educational Center), Luís Martí (Universidade Federal Fluminense) |
WS IOMES | Towards Bundling Minimal Trees in Polygonal Maps | Victor Parque (Waseda University), Tomoyuki Miyashita (Waseda University) |
WS IWLCS | Integrating Anticipatory Classifier Systems with OpenAI Gym | Norbert Kozłowski (Wroclaw University of Technology), Olgierd Unold (Wroclaw University of Technology) |
WS IWLCS | Optimizing clustering to promote data diversity when generating an ensemble classifier | Zohaib Jan (Central Queensland University), Brijesh Verma (Central Queensland University), Sam Fletcher (Central Queensland University) |
WS IWLCS | An Algebraic Description of XCS | David Pätzel (Universität Augsburg), Jörg Hähner (Universität Augsburg) |
WS IWLCS | XCS-CR: Determining Accuracy of Classifier by its Collective Reward in Action Set toward Environment with Action Noise | Takato Tatsumi (The University of Electro-Communications), Tim Kovacs (University of Bristol), Keiki Takadama (The University of Electro-Communications) |
WS IWLCS | XCSR Based on Compressed Input by Deep Neural Network for High Dimensional Data | Kazuma Matsumoto (The University of Electro-Communications), Ryo Takano (The University of Electro-Communications), Takato Tatsumi (The University of Electro-Communications), Hiroyuki Sato (The University of Electro-Communications), Tim Kovacs (University of Bristol), Keiki Takadama (The The University of Electro-Communications) |
WS IWLCS | EvoNN - A Customizable Evolutionary Neural Network with Heterogenous Activation Functions | Boris Shabash (Simon Fraser University), Kay Wiese (Simon Fraser University) |
WS IWLCS | Modulated Clustering Using Integrated Rough Sets and Scatter Search Attribute Reduction | Abdel-Rahman Hedar (Assiut University), Abdel-Monem Ibrahim (Al-Azhar University), Alaa Abdel-Hakim (Assiut University), Adel Sewisy (Assiut University) |
WS IWLCS | Model Parameter Adaptive Instance-Based Policy Optimization for Episodic Control Tasks of Nonholonomic Systems | Kyotaro Ohashi (Shinshu University), Natsuki Fujiyoshi (Shinshu University), Naoki Sakamoto (Shinshu University), Youhei Akimoto (University of Tsukuba) |
WS IWLCS | Generalizing Rules by Random Forest-based Learning Classifier Systems for High-Dimensional Data Mining | Fumito Uwano (The University of Electro-Communications), Koji Dobashi (The University of Electro-Communications), Keiki Takadama (The University of Electro-Communications), Tim Kovacs (University of Bristol) |
WS IWLCS | Applying Accuracy-based LCS to Detecting Anomalous Database Access | Suin Seo (Yonsei University), Sung-Bae Cho (Yonsei University) |
WS LAHS | Progressive Gradient Walk for Neural Network Fitness Landscape Analysis | Anna Bosman (University of Pretoria), Andries Engelbrecht (University of Pretoria), Mardé Helbig (University of Pretoria) |
WS LAHS | Computationally Efficient Local Optima Network Construction | Jonathan Fieldsend (University of Exeter) |
WS LAHS | Filter versus Wrapper Feature Selection based on Problem Landscape Features | Werner Mostert (University of Pretoria), Katherine Malan (University of South Africa), Andries Engelbrecht (University of Pretoria) |
WS MedGEC | Design of HIFU Treatment Plans using an Evolutionary Strategy | Marta Cudova (Brno University of Technology; Bozetechova 2, Brno), Bradley Treeby (University College London; Gower Street, WC1E 6BT, London), Jiri Jaros (Brno University of Technology; Bozetechova 2, Brno) |
WS MedGEC | Coevolving Behavior and Morphology of Simple Agents that Model Small-scale Robots | Milen Georgiev (Doshisha University), Ivan Tanev (Doshisha University), Katsunori Shimohara (Doshisha University) |
WS MedGEC | Solution Exploration using Multi-Objective Genetic Algorithm for Determining Experiment Candidate | Lorenzo Perino (Doshisha University), Akihiro Fujii (Doshisha University), Tsuyoshi Waku (Doshisha University), Akira Kobayashi (Doshisha University), Satoru Hiwa (Doshisha University), Tomoyuki Hiroyasu (Doshisha University) |
WS NSBECR | The Impact of Statistics for Benchmarking in Evolutionary Computation Research | Tome Eftimov (Jožzef Stefan Institute), Peter Korošec (Jožzef Stefan Institute) |
WS NSBECR | Evolving Benchmark Functions Using Kruskal-Wallis Test | Yang Lou (City University of Hong Kong), Shiu Yin Yuen (City University of Hong Kong), Guanrong Chen (City University of Hong Kong) |
WS NSBECR | Maze Benchmark for Testing Evolutionary Algorithms | Camilo Alaguna Córdoba (Universidad Nacional de Colombia), Jonatan Gómez Perdomo (Universidad Nacional de Colombia) |
WS NSBECR | Analysing Symbolic Regression Benchmarks under a Meta-Learning Approach | Luiz Otavio Oliveira (Universidade Federal de Minas Gerais), Joao Francisco Martins (Universidade Federal de Minas Gerais), Luis Fernando Miranda (Universidade Federal de Minas Gerais), Gisele Pappa (Universidade Federal de Minas Gerais) |
WS PDEIM | An Actor Model Implementation of Distributed Factored Evolutionary Algorithms | Stephyn Butcher (Johns Hopkins University), John Sheppard (Montana State University) |
WS PDEIM | A Parallel Island Model for Biogeography-Based Classification Rule Mining in Julia | Samuel Ebert (North Carolina State University), Effat Farhana (North Carolina State University), Steffen Heber (North Carolina State University) |
WS PDEIM | Vectorized Candidate Set Selection for Parallel Ant Colony Optimization | Joshua Peake (Manchester Metropolitan University), Huw Lloyd (Manchester Metropolitan University), Martyn Amos (Manchester Metropolitan University), Paraskevas Yiapanis (Manchester Metropolitan University) |
WS PDEIM | Effective Processor Load Balancing using Multi-Objective Parallel Extremal Optimization | Ivanoe Falco (Institute of High Performance Computing and Networking, CNR), Eryk Laskowski (Institute of Computer Science Polish Academy of Sciences), Richard Olejnik (Universite Lille, CNRS, Centrale Lille, UMR 9189 - CRISTAL - Centre de Recherche en Informatique, Signal et Automatique de Lille), Umberto Scafuri (Institute of High Performance Computing and Networking, CNR), Ernesto Tarantino (Institute of High Performance Computing and Networking, CNR), Marek Tudruj (Institute of Computer Science PAS) |
WS RWACMO | Well Placement Optimization for Carbon dioxide Capture and Storage via CMA-ES with Mixed Integer Support | Atsuhiro MIYAGI (Taisei Corporation), Hajime YAMAMOTO (Taisei Corporation), Youhei AKIMOTO (University of Tsukuba) |
WS RWACMO | On Vehicle Surrogate Learning with Genetic Programming Ensembles | Victor Parque (Waseda University), Tomoyuki Miyashita (Waseda University) |
WS SAEOpt | Evaluating Surrogate Models for Multi-Objective Influence Maximization in Social Networks | Doina Bucur (University of Twente), Giovanni Iacca (University of Trento), Andrea Marcelli (Politecnico di Torino), Giovanni Squillero (Politecnico di Torino), Alberto Tonda (INRA, UMR 782 GMPA) |
WS SAEOpt | Asynchronous Surrogate-assisted Optimization Networks | Johannes Karder (University of Applied Sciences Upper Austria), Andreas Beham (University of Applied Sciences Upper Austria), Bernhard Werth (University of Applied Sciences Upper Austria), Stefan Wagner (University of Applied Sciences Upper Austria), Michael Affenzeller (University of Applied Sciences Upper Austria) |
WS VizGEC 2018 | VINE: An Open Source Interactive Data Visualization Tool for Neuroevolution | Rui Wang (Uber AI Labs), Jeff Clune (Uber AI Labs), Kenneth Stanley (Uber AI Labs) |
WS VizGEC 2018 | Visualizing the tape of life: exploring evolutionary history with virtual reality | Emily Dolson (Michigan State University), Charles Ofria (Michigan State University) |
WS VizGEC 2018 | Visualising the Search Process for Multi-objective Optimisation | Marde Helbig (University of Pretoria) |