| EMO | Challenges of Convex Quadratic Bi-objective Benchmark Problems | Tobias Glasmachers (Ruhr-University Bochum) |
| EML | NSGA-Net: Neural Architecture Search using Multi-Objective Genetic Algorithm | Zhichao Lu, Ian Whalen, Vishnu Boddeti, Yashesh Dhebar, Kalyanmoy Deb, Erik Goodman, and Wolfgang Banzhaf (Michigan State University) |
| RWA | Multiobjective Shape Design in a Ventilation System with a Preference-driven Surrogate-assisted Evolutionary Algorithm | Tinkle Chugh (Department of Computer Science, University of Exeter); Tomas Kratky (Centre of Hydraulic Research); Kaisa Miettinen and Jin Yaochu (University of Jyvaskyla, Faculty of Information Technology); and Pekka Makkonen (Valtra Inc.) |
| ENUM | Adaptive Ranking Based Constraint Handling for Explicitly Constrained Black-Box Optimization | Naoki Sakamoto and Youhei Akimoto (University of Tsukuba) |
| RWA | A Novel Hybrid Scheme Using Genetic Algorithms and Deep Learning for the Reconstruction of Portuguese Tile Panels | Daniel Rika, Dror Sholomon, Eli O. David, and Nathan S. Netanyahu (Bar-Ilan University) |
| GECH | Surrogate Models for Enhancing the Efficiency of Neuroevolution in Reinforcement Learning | Jörg Stork, Martin Zaefferer, and Thomas Bartz-Beielstein (TH Köln - University of Applied Sciences) and A. E. Eiben (Vrije Universiteit Amsterdam) |
| GP | Semantic variation operators for multidimensional genetic programming | William La Cava and Jason H. Moore (University of Pennsylvania) |
| DETA | Evolving Dota 2 Shadow Fiend Bots using Genetic Programming with External Memory | Robert Jacob Smith and Malcolm I. Heywood (Dalhousie University) |
| SBSE | Resource-based Test Case Generation for RESTful Web Services | Man Zhang, Bogdan Marculescu, and Andrea Arcuri (Kristiania University College) |
| ECOM | A generic approach to districting with diameter or center-based objectives | Alex Gliesch and Marcus Ritt (Federal University of Rio Grande do Sul) |
| GA | A Benefit-Driven Genetic Algorithm for Balancing Privacy and Utility in Database Fragmentation | Yong-Feng Ge and Jinli Cao (La Trobe University), Hua Wang (Victoria University), Jiao Yin (La Trobe University), Wei-Jie Yu (Sun Yat-sen University), and Zhi-Hui Zhan and Jun Zhang (South China University of Technology) |
| GA | Evolutionary Diversity Optimization Using Multi-Objective Indicators | Aneta Neumann, Wanru Gao, Markus Wagner, and Frank Neumann (The University of Adelaide) |
| GA | Multi-heap Constraint Handling in Gray Box Evolutionary Algorithms | Thiago Macedo Gomes, Alan Robert Resende de Freitas, and Rodolfo Ayala Lopes (Universidade Federal de Ouro Preto) |
| EML | Evolving Controllably Difficult Datasets for Clustering | Cameron Shand, Richard Allmendinger, Julia Handl, Andrew Webb, and John Keane (University of Manchester) |
| ECOM | Algorithm Selection Using Deep Learning Without Feature Extraction | Mohamad Alissa, Kevin Sim, and Emma Hart (Edinburgh Napier University) |
| Theory | A Tight Runtime Analysis for the cGA on Jump Functions - EDAs Can Cross Fitness Valleys at No Extra Cost | Benjamin Doerr (Ecole Polytechnique, Laboratoire d'Informatique (LIX)) |
| ENUM | Landscape Analysis of Gaussian Process Surrogates for the Covariance Matrix Adaptation Evolution Strategy | Zbyněk Pitra (Faculty of Nuclear Sciences and Physical Engineering of the Czech Technical University; Institute of Computer Science, Academy of Sciences of the Czech Republic); Jakub Repický (Institute of Computer Science, Academy of Sciences of the Czech Republic; Charles University); and Martin Holeňa (Institute of Computer Science, Academy of Sciences of the Czech Republic) |
| ECOM | Adaptive Large Neighborhood Search for Scheduling of Mobile Robots | Quang-Vinh Dang (Masaryk University, Eindhoven University of Technology); Hana Rudová (Masaryk University); and Cong Thanh Nguyen (Ho Chi Minh City University of Technology) |
| CS | POET: Open-Ended Coevolution of Environments and their Optimized Solutions | Rui Wang, Joel Lehman, Jeff Clune, and Kenneth O. Stanley (Uber AI Labs) |
| EMO | Robust indicator-based algorithm for interactive evolutionary multiple objective optimization | Michał Tomczyk and Miłosz Kadziński (Poznan University of Technology) |
| RWA | A Hybrid Evolutionary Algorithm Framework for Optimising Power Take Off and Placements of Wave Energy Converters | Mehdi Neshat, Bradley Alexander, Nataliia Sergiienko, and Markus Wagner (University of Adelaide) |
| GP | Lexicase Selection of Specialists | Thomas Helmuth (Hamilton College); Edward Pantridge (Swoop, Inc.); and Lee Spector (Hampshire College) |
| GP | Solving Symbolic Regression Problems with Formal Constraints | Iwo Błądek and Krzysztof Krawiec (Poznan University of Technology) |
| ENUM | A Global Surrogate Assisted CMA-ES | Nikolaus Hansen (Inria, Ecole polytechnique) |