Accepted papers

3The (1+1)-ES Reliably Overcomes Saddle Points
Tobias Glasmachers
5SemiGraphFL: A Semi-Supervised Graph Federated Learning Framework for Graph Classification
Ye Tao, Ying Li and Zhonghai Wu
8An Exact Inverted Generational Distance for Continuous Pareto Front
Zihan Wang, Chunyun Xiao and Aimin Zhou
9Multi-view clustering of heterogeneous health data: Application to systemic sclerosis
Adan Jose-Garcia, Julie Jacques, Alexandre Filiot, Julia Hanld, David Launay, Vincent Sobanski and Clarisse Dhaenens
12Specification-Driven Evolution of Floor Plan Design
Katarzyna Grzesiak-Kopeć, Barbara Strug and Grażyna Ślusarczyk
15Two-Dimensional Drift Analysis: Optimizing Two Functions Simultaneously Can Be Hard
Duri Janett and Johannes Lengler
16In-Materio Extreme Learning Machines
Benedict Jones, Noura Al Moubayed, Dagou Zeze and Chris Groves
17A Continuous Optimisation Benchmark Suite from Neural Network Regression
Katherine Malan and Christopher Cleghorn
22Self-adjusting Population Sizes for the $(1, \lambda)$-EA on Monotone Functions
Marc Kaufmann, Maxime Larcher, Johannes Lengler and Xun Zou
24Deep Reinforcement Learning with Two-Stage Training Strategy for Practical Electric Vehicle Routing Problem with Time Windows
Jinbiao Chen, Huanhuan Huang, Zizhen Zhang and Jiahai Wang
26Revisiting Attention-based Graph Neural Networks for Graph Classification
Ye Tao, Ying Li and Zhonghai Wu
28A novelty-search approach to filling an instance-space with diverse and discriminatory instances for the knapsack problem
Alejandro Marrero, Eduardo Segredo, Coromoto Leon and Emma Hart
29Cooperative Search Brings Benefits but Mimicry is Harmful in Complex Business Domains
Brandon Chin Woei Lim, Richard Allmendinger, Joshua Knowles, Ayesha Alhosani and Mercedes Bleda
30Importance-Aware Genetic Programming for Automated Scheduling Heuristics Learning in Dynamic Flexible Job Shop Scheduling
Fangfang Zhang, Yi Mei, Su Nguyen and Mengjie Zhang
34Recombination Weight based Selection in the DST-CMA-ES
Oswin Krause
38Runtime Analysis of the (1+1) EA on Weighted Sums of Transformed Linear Functions
Frank Neumann and Carsten Witt
41Large-scale multi-objective influence maximisation with network downscaling
Elia Cunegatti, Giovanni Iacca and Doina Bucur
48Population Diversity Leads to Short Running Times of Lexicase Selection
Thomas Helmuth, Johannes Lengler and William La Cava
49Fair Feature Selection with a Lexicographic Multi-Objective Genetic Algorithm
James Brookhouse and Alex Freitas
55Generalization and Computation for Policy Classes of Generative Adversarial Imitation Learning
Yirui Zhou, Yangchun Zhang, Xiaowei Liu, Wanying Wang, Zhengping Che, Zhiyuan Xu, Jian Tang and Yaxin Peng
59Theoretical Study of Optimizing Rugged Landscapes with the cGA
Tobias Friedrich, Timo Kötzing, Frank Neumann and Aishwarya Radhakrishnan
60Evolving Through the Looking Glass: Learning Improved Search Spaces with Variational Autoencoders
Peter Bentley, Soo Ling Lim, Adam Gaier and Linh Tran
61Progress Rate Analysis of Evolution Strategies on the Rastrigin Function: First Results
Amir Omeradzic and Hans-Georg Beyer
65A general architecture for interactive decomposition-based MOEAs
Giomara Larraga and Kaisa Miettinen
70Adaptive Function Value Warping for Surrogate Model Assisted Evolutionary Optimization
Amir Abbasnejad and Dirk Arnold
74Multi-Objective Evolutionary Algorithm Based on the Linear Assignment Problem and the Hypervolume Approximation using Polar Coordinates (MOEA-LAPCO)
Diana Cristina Valencia Rodríguez and Carlos A. Coello Coello
78Identifying stochastically non-dominated solutions using evolutionary computation
Hemant Singh and Juergen Branke
79Dynamic Multi-modal Multi-objective Optimization: A Preliminary Study
Yiming Peng and Hisao Ishibuchi
81Iterated Local Search for the eBuses Charging Location Problem
César Loaiza Quintana, Laura Climent and Alejandro Arbelaez
82Computing High-Quality Solutions for the Patient Admission Scheduling Problem using Evolutionary Diversity Optimisation
Adel Nikfarjam, Amirhossein Moosavi, Aneta Neumann and Frank Neumann
84Co-Evolutionary Diversity Optimisation for the Traveling Thief Problem
Adel Nikfarjam, Aneta Neumann, Jakob Bossek and Frank Neumann
86HVC-Net: Deep Learning based Hypervolume Contribution Approximation
Ke Shang, Weiduo Liao and Hisao Ishibuchi
88Do We Really Need to Use Constraint Violation in Constrained Evolutionary Multi-Objective Optimization?
Shuang Li, Ke Li and Wei Li
89A First Runtime Analysis of the NSGA-II on a Multimodal Problem
Benjamin Doerr and Zhongdi Qu
91General Univariate Estimation-of-Distribution Algorithms
Benjamin Doerr and Marc Dufay
93Attention-Based Genetic Algorithm for Adversarial Attack in Natural Language Processing
Shasha Zhou and Ke Li
98Self-adaptation via Multi-objectivisation: An Empirical Study
Xiaoyu Qin and Per Kristian Lehre
99Gene-pool Optimal Mixing in Cartesian Genetic Programming
Joe Harrison, Tanja Alderliesten and Peter Bosman
100Towards Efficient Multiobjective Hyperparameter Optimization: A Multiobjective Multi-Fidelity Bayesian Optimization and Hyperband Algorithm
Zefeng Chen, Yuren Zhou, Zhengxin Huang and Xiaoyun Xia
101Fractal Dimension and Perturbation Strength: A Local Optima Networks View
Sarah L. Thomson, Gabriela Ochoa and Sébastien Verel
103Hybridizing Hypervolume-based Evolutionary Algorithms and Gradient Descent by Dynamic Resource Allocation
Damy Ha, Timo Deist and Peter Bosman
104Analysis of Search Landscape Samplers for Performance Prediction
Thomas Feutrier, Marie-Eleonore Kessaci and Nadarajen Veerapen
105Multi-objective Evolutionary Ensemble Pruning Guided by Margin Distribution
Yu-Chang Wu, Yi-Xiao He, Chao Qian and Zhi-Hua Zhou
107Evolutionary Algorithms for Cardinality-Constrained Ising Models
Vijay Dhanjibhai Bhuva, Duc-Cuong Dang, Liam Huber and Dirk Sudholt
108Single Interaction Multi-Objective Bayesian Optimization
Juan Ungredda, Juergen Branke, Mariapia Marchi and Teresa Montrone
109Digging into Semantics: Where do search-based software repair methods search?
Hammad Ahmad, Padraic Cashin, Stephanie Forrest and Westley Weimer
113Collective Learning of Low-Memory Matrix Adaptation for Large-Scale Black-Box Optimization
Qiqi Duan, Guochen Zhou, Chang Shao, Yijun Yang and Yuhui Shi
114Robust Neural Network Pruning by Cooperative Coevolution
Jia-Liang Wu, Haopu Shang, Wenjing Hong and Chao Qian
115Neural Architecture Search: A Visual Analysis
Gabriela Ochoa and Nadarajen Veerapen
116Surrogate-assisted Multi-objective Optimization for Compiler Optimization Sequence Selection
Guojun Gao, Lei Qiao, Dong Liu, Shifei Chen and He Jiang
119Efficient Approximation of Expected Hypervolume Improvement using Gauss-Hermite Quadrature
Alma Rahat, Tinkle Chugh, Jonathan Fieldsend, Richard Allmendinger and Kaisa Miettinen
120Finding Knees in Bayesian Multi-Objective Optimization
Arash Heidari, Jixiang Qing, Sebastian Rojas Gonzalez, Jürgen Branke, Tom Dhaene and Ivo Couckuyt
121Analysing the Fitness Landscape Rotation for Combinatorial Optimisation
Joan Alza, Mark Bartlett, Josu Ceberio and John McCall
122Evolutionary Algorithm for Vehicle Routing with Diversity Oscillation Mechanism
Piotr Cybula, Andrzej Jaszkiewicz, Przemysław Pełka, Marek Rogalski and Piotr Sielski
124Evolutionary Approaches for the Generation of Instance-Spaces
Kevin Sim and Emma Hart
126Genetic programming for combining directional changes indicators in international stock markets
Xinpeng Long, Michael Kampouridis and Panagiotis Kanellopoulos
128Direction Vector Selection for R2-based Hypervolume Contribution Approximation
Tianye Shu, Ke Shang, Yang Nan and Hisao Ishibuchi
130Runtime Analysis of Simple Evolutionary Algorithms for the Chance-constrained Makespan Scheduling Problem
Feng Shi, Xiankun Yan and Frank Neumann
131Surrogate-assisted LSHADE algorithm utilizing Recursive Least Squares filter
Mateusz Zaborski and Jacek Mańdziuk
132Evolutionary Design of Reduced Precision Preprocessor for Levodopa-Induced Dyskinesia Classifier
Martin Hurta, Michaela Drahosova and Vojtech Mrazek
137Escaping Local Optima With Local Search: A Theory-Driven Discussion
Tobias Friedrich, Timo Kötzing, Martin S. Krejca and Amirhossein Rajabi
140A Systematic Approach to Analyze the Computational Cost of Robustness in Model-Assisted Robust Optimization
Sibghat Ullah, Hao Wang, Stefan Menzel, Bernhard Sendhoff and Thomas Bäck
141Greedy Decremental Quick Hypervolume Subset Selection Algorithms
Andrzej Jaszkiewicz and Piotr Zielniewicz
147Increasing the Diversity of Benchmark Function Sets through Affine Recombination
Konstantin Dietrich and Olaf Mersmann
148T-DominO: Exploring Multiple Criteria with Quality-Diversity and the Tournament Dominance Objective
Adam Gaier, James Stoddart, Lorenzo Villaggi and Peter Bentley
153The Combined Critical Node and Edge Detection Problem. An Evolutionary Approach
Tamás Képes, Noémi Gaskó and Géza Vekov
155Per-Run Algorithm Selection with Warm-starting Using Trajectory-based Features
Ana Kostovska, Anja Jankovic, Diederick Vermetten, Jacob de Nobel, Hao Wang, Tome Eftimov and Carola Doerr
156Generative Models over Neural Controllers for Transfer Learning
James Butterworth, Rahul Savani and Karl Tuyls
157On the impact of evaluation episode duration on the evolution of adaptive robots
Larissa Gremelmaier Rosa, Vitor Hugo Homem, Stefano Nolfi and Jônata Tyska Carvalho
161Evolutionary Time Use Optimization for Improving Children’s Health Outcomes
Yue Xie, Aneta Neumann, Ty Stanford, Charlotte Lund Rasmussen, Dorothea Dumuid and Frank Neumann
162Evolutionary Algorithms for Limiting the Effect of Uncertainty for the Knapsack Problem with Stochastic Profits
Aneta Neumann, Yue Xie and Frank Neumann
164Runtime analysis of unbalanced block-parallel evolutionary algorithms
Brahim Aboutaib and Andrew Sutton
165Improving Nevergrad’s Algorithm Selection Wizard NGOpt through Automated Algorithm Configuration
Risto Trajanov, Ana Nikolikj, Gjorgjina Cenikj, Fabien Teytaud, Mathurin Videau, Olivier Teytaud, Tome Eftimov, Manuel López-Ibáñez and Carola Doerr
167High Dimensional Bayesian Optimization with Kernel PCA
Kirill Antonov, Elena Raponi, Hao Wang and Carola Doerr
168Non-Elitist Selection Can Improve the Performance of Irace
Furong Ye, Diederick Vermetten, Carola Doerr and Thomas Bäck
171Towards Discrete Phenotypic Recombination in Cartesian Genetic Programming
Roman Kalkreuth
176BBE: Basin-Based Evaluation of Multimodal Multi-Objective Optimization Problems
Jonathan Heins, Jeroen Rook, Lennart Schäpermeier, Pascal Kerschke, Jakob Bossek and Heike Trautmann
177Automated Algorithm Selection in Single-Objective Continuous Optimization: A Comparative Study Of Deep Learning and Landscape Analysis Methods
Raphael Patrick Prager, Moritz Vinzent Seiler, Heike Trautmann and Pascal Kerschke
178Towards Fixed-Target Black-Box Complexity Analysis
Dmitry Vinokurov and Maxim Buzdalov
179HPO X ELA: Investigating Hyperparameter Optimization Landscapes by Means of Exploratory Landscape Analysis
Lennart Schneider, Lennart Schäpermeier, Raphael Patrick Prager, Bernd Bischl, Heike Trautmann and Pascal Kerschke
182Analysis of Quality Diversity Algorithms for the Knapsack Problem
Adel Nikfarjam, Anh Viet Do and Frank Neumann
184Obtaining Smoothly Navigable Approximation Sets in Bi-Objective Multi-Modal Optimization
Renzo J. Scholman, Anton Bouter, Leah R.M. Dickhoff, Tanja Alderliesten and Peter A.N. Bosman
186Running Time Analysis of the (1+1)-EA using Surrogate Models on OneMax and LeadingOnes
Zi-An Zhang, Chao Bian and Chao Qian
187New Solution Creation Operator in MOEA/D for Faster Convergence
Longcan Chen, Lie Meng Pang and Hisao Ishibuchi
190Better Running Time of the Non-dominated Sorting Genetic Algorithm II (NSGA-II) by Using Stochastic Tournament Selection
Chao Bian and Chao Qian