GECCO '21: Proceedings of the Genetic and Evolutionary Computation Conference GECCO '21: Proceedings of the Genetic and Evolutionary Computation Conference Full Citation in the ACM Digital Library Reverse-engineering core common sense with the tools of probabilistic programs, game-style simulation engines, and inductive program synthesis Joshua Tenenbaum Statistical physics and statistical inference Marc Mézard Why AI is harder than we think Melanie Mitchell SESSION: Ant colony optimization and swarm intelligence A rigorous runtime analysis of the 2-MMASib on jump functions: ant colony optimizers can cope well with local optima Riade Benbaki Ziyad Benomar Benjamin Doerr Ants can solve the parallel drone scheduling traveling salesman problem Quoc Trung Dinh Duc Dong Do Minh Hoàng Hà The paradox of choice in evolving swarms: information overload leads to limited sensing Calum C. Imrie J. Michael Herrmann Olaf Witkowski Stasis type particle stability in a stochastic model of particle swarm optimization Tomasz Kulpa Krzysztof Trojanowski Krzysztof Wójcik Fishing for interactions: a network science approach to modeling fish school search Mariana Macedo Lydia Taw Nishant Gurrapadi Rodrigo C. Lira Diego Pinheiro Marcos Oliveira Carmelo Bastos-Filho Ronaldo Menezes A bio-inspired spatial defence strategy for collective decision making in self-organized swarms Judhi Prasetyo Giulia De Masi Raina Zakir Muhanad Alkilabi Elio Tuci Eliseo Ferrante A hybrid ant colony optimization algorithm for the knapsack problem with a single continuous variable Xinhua Yang Yufan Zhou Ailing Shen Juan Lin Yiwen Zhong SESSION: Complex systems (artificial life, artificial immune systems, generative and developmental systems, evolutionary robotics, evolvable hardware) Using multiple generative adversarial networks to build better-connected levels for mega man Benjamin Capps Jacob Schrum Ensemble feature extraction for multi-container quality-diversity algorithms Leo Cazenille Multi-emitter MAP-elites: improving quality, diversity and data efficiency with heterogeneous sets of emitters Antoine Cully Resource availability and the evolution of cooperation in a 3D agent-based simulation Lara Dal Molin Jasmeen Kanwal Christopher Stone Evolving soft robotic jamming grippers Seth G. Fitzgerald Gary W. Delaney David Howard Frederic Maire On the impact of tangled program graph marking schemes under the atari reinforcement learning benchmark Alexandru Ianta Ryan Amaral Caleidgh Bayer Robert J. Smith Malcolm I. Heywood A signal-centric perspective on the evolution of symbolic communication Quintino Francesco Lotito Leonardo Lucio Custode Giovanni Iacca Biodiversity in evolved voxel-based soft robots Eric Medvet Alberto Bartoli Federico Pigozzi Marco Rochelli The Environment and Body-Brain Complexity Christina Spanellis Brooke Stewart Geoff Nitschke Evolving gaits for damage control in a hexapod robot Christopher Mailer Geoff Nitschke Leanne Raw Sparse reward exploration via novelty search and emitters Giuseppe Paolo Alexandre Coninx Stephane Doncieux Alban Laflaquière MAEDyS: multiagent evolution via dynamic skill selection Enna Sachdeva Shauharda Khadka Somdeb Majumdar Kagan Tumer BR-NS: an archive-less approach to novelty search Achkan Salehi Alexandre Coninx Stephane Doncieux Monte Carlo elites: quality-diversity selection as a multi-armed bandit problem Konstantinos Sfikas Antonios Liapis Georgios N. Yannakakis Seeking quality diversity in evolutionary co-design of morphology and control of soft tensegrity modular robots Enrico Zardini Davide Zappetti Davide Zambrano Giovanni Iacca Dario Floreano SESSION: Evolutionary combinatorial optimization and metaheuristics Evolutionary diversity optimization and the minimum spanning tree problem Jakob Bossek Frank Neumann Real-like MAX-SAT instances and the landscape structure across the phase transition Francisco Chicano Gabriela Ochoa Marco Tomassini A graph coloring based parallel hill climber for large-scale NK-landscapes Bilel Derbel Lorenzo Canonne Unbalanced mallows models for optimizing expensive black-box permutation problems Ekhine Irurozki Manuel López-Ibáñez On the design and anytime performance of indicator-based branch and bound for multi-objective combinatorial optimization Alexandre D. Jesus Luís Paquete Bilel Derbel Arnaud Liefooghe Generating hard inventory routing problem instances using evolutionary algorithms Krzysztof Michalak An efficient implementation of iterative partial transcription for the traveling salesman problem Anirban Mukhopadhyay Darrell Whitley Renato Tinós Diversifying greedy sampling and evolutionary diversity optimisation for constrained monotone submodular functions Aneta Neumann Jakob Bossek Frank Neumann The tiebreaking space of constructive heuristics for the permutation flowshop minimizing makespan Marcus Ritt Alexander J. Benavides Local search pivoting rules and the landscape global structure Sara Tari Gabriela Ochoa Two-stage multi-objective genetic programming with archive for uncertain capacitated arc routing problem Shaolin Wang Yi Mei Mengjie Zhang Genetic algorithm niching by (Quasi-)infinite memory Adrian Worring Benjamin E. Mayer Kay Hamacher SESSION: Evolutionary machine learning Optimizing loss functions through multi-variate taylor polynomial parameterization Santiago Gonzalez Risto Miikkulainen A survey of cluster validity indices for automatic data clustering using differential evolution Adán José-García Wilfrido Gómez-Flores Regularized evolutionary population-based training Jason Liang Santiago Gonzalez Hormoz Shahrzad Risto Miikkulainen Convergence analysis of rule-generality on the XCS classifier system Yoshiki Nakamura Motoki Horiuchi Masaya Nakata An effective action covering for multi-label learning classifier systems: a graph-theoretic approach Shabnam Nazmi Abdollah Homaifar Mohd Anwar Genetic programming for borderline instance detection in high-dimensional unbalanced classification Wenbin Pei Bing Xue Lin Shang Mengjie Zhang Genetic adversarial training of decision trees Francesco Ranzato Marco Zanella Coevolution of remaining useful lifetime estimation pipelines for automated predictive maintenance Tanja Tornede Alexander Tornede Marcel Wever Eyke Hüllermeier Signal propagation in a gradient-based and evolutionary learning system Jamal Toutouh Una-May O'Reilly A systematic comparison study on hyperparameter optimisation of graph neural networks for molecular property prediction Yingfang Yuan Wenjun Wang Wei Pang SESSION: Evolutionary multiobjective optimization Pareto compliance from a practical point of view Jesús Guillermo Falcón-Cardona Saúl Zapotecas-Martínez Abel García-Nájera Metric for evaluating normalization methods in multiobjective optimization Linjun He Hisao Ishibuchi Dipti Srinivasan Quick extreme hypervolume contribution algorithm Andrzej Jaszkiewicz Piotr Zielniewicz Landscape features and automated algorithm selection for multi-objective interpolated continuous optimisation problems Arnaud Liefooghe Sébastien Verel Benjamin Lacroix Alexandru-Ciprian Zăvoianu John McCall Hypervolume in biobjective optimization cannot converge faster than Ω(1/p) Eugénie Marescaux Nikolaus Hansen Distance-based subset selection revisited Ke Shang Hisao Ishibuchi Yang Nan Greedy approximated hypervolume subset selection for many-objective optimization Ke Shang Hisao Ishibuchi Weiyu Chen Realistic utility functions prove difficult for state-of-the-art interactive multiobjective optimization algorithms Seyed Mahdi Shavarani Manuel López-Ibáñez Joshua Knowles Bayesian preference learning for interactive multi-objective optimisation Kendall Taylor Huong Ha Minyi Li Jeffrey Chan Xiaodong Li Interactive evolutionary multiple objective optimization algorithm using a fast calculation of holistic acceptabilities Michał K. Tomczyk Miłosz Kadziński Environmental selection using a fuzzy classifier for multiobjective evolutionary algorithms Jinyuan Zhang Hisao Ishibuchi Ke Shang Linjun He Lie Meng Pang Yiming Peng SESSION: Evolutionary numerical optimization Saddle point optimization with approximate minimization oracle Youhei Akimoto Self-referential quality diversity through differential MAP-Elites Tae Jong Choi Julian Togelius Explorative data analysis of time series based algorithm features of CMA-ES variants Jacob de Nobel Hao Wang Thomas Baeck Augmented lagrangian, penalty techniques and surrogate modeling for constrained optimization with CMA-ES Paul Dufossé Nikolaus Hansen Interaction between model and its evolution control in surrogate-assisted CMA evolution strategy Zbyněk Pitra Marek Hanuš Jan Koza Jiří Tumpach Martin Holeňa A matrix adaptation evolution strategy for optimization on general quadratic manifolds Patrick Spettel Hans-Georg Beyer Towards exploratory landscape analysis for large-scale optimization: a dimensionality reduction framework Ryoji Tanabe SESSION: Genetic algorithms Breeding diverse packings for the knapsack problem by means of diversity-tailored evolutionary algorithms Jakob Bossek Aneta Neumann Frank Neumann Evolutionary algorithms-assisted construction of cryptographic boolean functions Claude Carlet Domagoj Jakobovic Stjepan Picek Analysis of evolutionary diversity optimisation for permutation problems Anh Viet Do Mingyu Guo Aneta Neumann Frank Neumann A novel surrogate-assisted evolutionary algorithm applied to partition-based ensemble learning Arkadiy Dushatskiy Tanja Alderliesten Peter A. N. Bosman Simulated annealing for symbolic regression Daniel Kantor Fernando J. Von Zuben Fabricio Olivetti de Franca Entropy-based evolutionary diversity optimisation for the traveling salesperson problem Adel Nikfarjam Jakob Bossek Aneta Neumann Frank Neumann Direct linkage discovery with empirical linkage learning Michal W. Przewozniczek Marcin M. Komarnicki Bartosz Frej A genetic algorithm approach for the Euclidean Steiner tree problem with soft obstacles Manou Rosenberg Tim French Mark Reynolds Lyndon While Partition crossover for continuous optimization: ePX Renato Tinós Darrell Whitley Francisco Chicano Gabriela Ochoa A parallel ensemble genetic algorithm for the traveling salesman problem Swetha Varadarajan Darrell Whitley Quadratization of gray coded representations, long path problems and needle functions Darrell Whitley Francisco Chicano Hernan Aguirre SESSION: General evolutionary computation and hybrids PSAF: a probabilistic surrogate-assisted framework for single-objective optimization Julian Blank Kalyanmoy Deb Optimal static mutation strength distributions for the (1 + λ) evolutionary algorithm on OneMax Maxim Buzdalov Carola Doerr Personalizing performance regression models to black-box optimization problems Tome Eftimov Anja Jankovic Gorjan Popovski Carola Doerr Peter Korošec Expressivity of parameterized and data-driven representations in quality diversity search Alexander Hagg Sebastian Berns Alexander Asteroth Simon Colton Thomas Bäck The impact of hyper-parameter tuning for landscape-aware performance regression and algorithm selection Anja Jankovic Gorjan Popovski Tome Eftimov Carola Doerr Adaptive scenario subset selection for min-max black-box continuous optimization Atsuhiro Miyagi Kazuto Fukuchi Jun Sakuma Youhei Akimoto Parallel differential evolution applied to interleaving generation with precedence evaluation of tentative solutions Hayato Noguchi Tomohiro Harada Ruck Thawonmas Coevolutionary modeling of cyber attack patterns and mitigations using public datasets Michal Shlapentokh-Rothman Jonathan Kelly Avital Baral Erik Hemberg Una-May O'Reilly A hybrid CP/MOLS approach for multi-objective imbalanced classification Nicolas Szczepanski Gilles Audemard Laetitia Jourdan Christophe Lecoutre Lucien Mousin Nadarajen Veerapen Directing evolution: the automated design of evolutionary pathways using directed graphs Braden Tisdale Deacon Seals Aaron Scott Pope Daniel R. Tauritz When non-elitism meets time-linkage problems Weijie Zheng Qiaozhi Zhang Huanhuan Chen Xin Yao SESSION: Genetic programming Measuring feature importance of symbolic regression models using partial effects Guilherme Seidyo Imai Aldeia Fabrício Olivetti de França A novel multi-task genetic programming approach to uncertain capacitated Arc routing problem Mazhar Ansari Ardeh Yi Mei Mengjie Zhang Speed benchmarking of genetic programming frameworks Francisco Baeta João Correia Tiago Martins Penousal Machado Zoetrope genetic programming for regression Aurélie Boisbunon Carlo Fanara Ingrid Grenet Jonathan Daeden Alexis Vighi Marc Schoenauer PSB2: the second program synthesis benchmark suite Thomas Helmuth Peter Kelly CoInGP: convolutional inpainting with genetic programming Domagoj Jakobovic Luca Manzoni Luca Mariot Stjepan Picek Mauro Castelli Cooperative coevolutionary multiobjective genetic programming for microarray data classification Yang Qing Chi Ma Yu Zhou Xiao Zhang Haowen Xia Towards effective GP multi-class classification based on dynamic targets Stefano Ruberto Valerio Terragni Jason H. Moore A generalizability measure for program synthesis with genetic programming Dominik Sobania Franz Rothlauf Genetic programming is naturally suited to evolve bagging ensembles Marco Virgolin Evolvability and complexity properties of the digital circuit genotype-phenotype map Alden H. Wright Cheyenne L. Laue SESSION: Neuroevolution Using novelty search to explicitly create diversity in ensembles of classifiers Rui P. Cardoso Emma Hart David Burth Kurka Jeremy V. Pitt Training spiking neural networks with a multi-agent evolutionary robotics framework Souvik Das Anirudh Shankar Vaneet Aggarwal Policy gradient assisted MAP-Elites Olle Nilsson Antoine Cully Fitness landscape analysis of graph neural network architecture search spaces Matheus Nunes Paulo M. Fraga Gisele L. Pappa Genetic crossover in the evolution of time-dependent neural networks Jason Orlosky Tim Grabowski Evolving and merging hebbian learning rules: increasing generalization by decreasing the number of rules Joachim Winther Pedersen Sebastian Risi Policy manifold search: exploring the manifold hypothesis for diversity-based neuroevolution Nemanja Rakicevic Antoine Cully Petar Kormushev Evolving neural architecture using one shot model Nilotpal Sinha Kuan-Wen Chen A geometric encoding for neural network evolution Paul Templier Emmanuel Rachelson Dennis G. Wilson SESSION: Real world applications A genetic algorithm approach to virtual topology design for multi-layer communication networks Uwe Bauknecht Evolutionary minimization of traffic congestion Maximilian Böther Leon Schiller Philipp Fischbeck Louise Molitor Martin S. Krejca Tobias Friedrich Accelerated evolutionary induction of heterogeneous decision trees for gene expression-based classification Marcin Czajkowski Krzysztof Jurczuk Marek Kretowski Zeroth-order optimizer benchmarking for 3D performance capture: a real-world use case analysis Alexandros Doumanoglou Petros Drakoulis Kyriaki Christaki Nikolaos Zioulis Vladimiros Sterzentsenko Antonis Karakottas Dimitrios Zarpalas Petros Daras Evolutionary meta reinforcement learning for portfolio optimization Myoung Hoon Ha Seung-geun Chi Sangyeop Lee Yujin Cha Moon Byung-Ro A genetic algorithm for AC optimal transmission switching Masood Jabarnejad Design of specific primer sets for SARS-CoV-2 variants using evolutionary algorithms Alejandro Lopez Rincon Carmina A. Perez Romero Lucero Mendoza Maldonado Eric Claassen Johan Garssen Aletta D. Kraneveld Alberto Tonda An efficient computational approach for automatic itinerary planning on web servers Zeyuan Ma Hongshu Guo Yinxuan Gui Yue-Jiao Gong Continuously running genetic algorithm for real-time networking device optimization Amit Mandelbaum Doron Haritan Natali Shechtman Evaluating medical aesthetics treatments through evolved age-estimation models Risto Miikkulainen Elliot Meyerson Xin Qiu Ujjayant Sinha Raghav Kumar Karen Hofmann Yiyang Matt Yan Michael Ye Jingyuan Yang Damon Caiazza Stephanie Manson Brown Multi-objective optimization of item selection in computerized adaptive testing Dena F. Mujtaba Nihar R. Mahapatra A simple evolutionary algorithm guided by local mutations for an efficient RNA design Nono S. C. Merleau Matteo Smerlak Multi-objective optimization across multiple concepts: a case study on lattice structure design Brandon Parker Hemant Kumar Singh Tapabrata Ray MA-ABC: a memetic algorithm optimizing attractiveness, balance, and cost for capacitated Arc routing problems Muhilan Ramamoorthy Stephanie Forrest Violet R. Syrotiuk Level generation for angry birds with sequential VAE and latent variable evolution Takumi Tanabe Kazuto Fukuchi Jun Sakuma Youhei Akimoto An evolutionary multi-objective feature selection approach for detecting music segment boundaries of specific types Igor Vatolkin Fabian Ostermann Meinard Müller Solving the paintshop scheduling problem with memetic algorithms Wolfgang Weintritt Nysret Musliu Felix Winter Heuristic strategies for solving complex interacting stockpile blending problem with chance constraints Yue Xie Aneta Neumann Frank Neumann SESSION: Search-based software engineering Encoding the certainty of boolean variables to improve the guidance for search-based test generation Sebastian Vogl Sebastian Schweikl Gordon Fraser Concurrent model synchronisation with multiple objectives Nils Weidmann Gregor Engels Analyzing the impact of product configuration variations on advanced driver assistance systems with search Kaiou Yin Paolo Arcaini Tao Yue Shaukat Ali SESSION: Theory Lazy parameter tuning and control: choosing all parameters randomly from a power-law distribution Denis Antipov Maxim Buzdalov Benjamin Doerr Generalized jump functions Henry Bambury Antoine Bultel Benjamin Doerr Non-elitist evolutionary algorithms excel in fitness landscapes with sparse deceptive regions and dense valleys Duc-Cuong Dang Anton Eremeev Per Kristian Lehre Lower bounds from fitness levels made easy Benjamin Doerr Timo Kötzing Self-adjusting population sizes for non-elitist evolutionary algorithms: why success rates matter Mario Alejandro Hevia Fajardo Dirk Sudholt More precise runtime analyses of non-elitist EAs in uncertain environments Per Kristian Lehre Xiaoyu Qin Convergence rate of the (1+1)-evolution strategy with success-based step-size adaptation on convex quadratic functions Daiki Morinaga Kazuto Fukuchi Jun Sakuma Youhei Akimoto Stagnation detection in highly multimodal fitness landscapes Amirhossein Rajabi Carsten Witt Runtime analysis of RLS and the (1+1) EA for the chance-constrained knapsack problem with correlated uniform weights Yue Xie Aneta Neumann Frank Neumann Andrew M. Sutton