| 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 | 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 | 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) |
| 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) |
| 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) |
| 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 | 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 | 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) |
| 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 | 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 | Data-Driven Analysis of Pareto Set Topology | Naoki Hamada (Fujitsu Laboratories Ltd.), Keisuke Goto (Fujitsu Laboratories Ltd.) |
| ENUM | An Empirical Comparison of Metamodeling Strategies in Noisy Environments | Sunith Bandaru (University of Skövde), Amos Ng (University of Skövde) |
| ENUM | PSA-CMA-ES: CMA-ES with Population Size Adaptation | Kouhei Nishida (Shinshu University), Youhei Akimoto (University of Tsukuba) |
| GA | Learning Bayesian Network Structures with GOMEA | Kalia Orphanou (Centrum Wiskunde & Informatica (CWI)), Dirk Thierens (Utrecht University), Peter Bosman (Centrum Wiskunde & Informatica (CWI)) |
| 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) |
| 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)) |
| 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 | Program Synthesis using Uniform Mutation by Addition and Deletion | Thomas Helmuth (Hamilton College), Nicholas McPhee (University of Minnesota, Morris), Lee Spector (Hampshire College) |
| RWA | Genetic Programming for Tuberculosis Screening from Raw X-ray Images | Armand Burks (Michigan State University), William Punch (Michigan State University) |
| 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) |
| Theory | Domino Convergence: Why One Should Hill-Climb on Linear Functions | Carsten Witt (Technical University Of Denmark) |