| 2021 | A bio-inspired spatial defence strategy for collective decision making in self-organized swarms. Judhi Prasetyo, Giulia De Masi, Raina Zakir, Muhanad H. Mohammed Alkilabi, Elio Tuci, Eliseo Ferrante |
| 2021 | A generalizability measure for program synthesis with genetic programming. Dominik Sobania, Franz Rothlauf |
| 2021 | A genetic algorithm approach for the Euclidean Steiner tree problem with soft obstacles. Manou Rosenberg, Tim French, Mark Reynolds, Lyndon While |
| 2021 | A genetic algorithm approach to virtual topology design for multi-layer communication networks. Uwe Bauknecht |
| 2021 | A genetic algorithm for AC optimal transmission switching. Masood Jabarnejad |
| 2021 | A geometric encoding for neural network evolution. Paul Templier, Emmanuel Rachelson, Dennis G. Wilson |
| 2021 | A graph coloring based parallel hill climber for large-scale NK-landscapes. Bilel Derbel, Lorenzo Canonne |
| 2021 | A hybrid CP/MOLS approach for multi-objective imbalanced classification. Nicolas Szczepanski, Gilles Audemard, Laetitia Jourdan, Christophe Lecoutre, Lucien Mousin, Nadarajen Veerapen |
| 2021 | 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 |
| 2021 | A matrix adaptation evolution strategy for optimization on general quadratic manifolds. Patrick Spettel, Hans-Georg Beyer |
| 2021 | A novel multi-task genetic programming approach to uncertain capacitated Arc routing problem. Mazhar Ansari Ardeh, Yi Mei, Mengjie Zhang |
| 2021 | A novel surrogate-assisted evolutionary algorithm applied to partition-based ensemble learning. Arkadiy Dushatskiy, Tanja Alderliesten, Peter A. N. Bosman |
| 2021 | A parallel ensemble genetic algorithm for the traveling salesman problem. Swetha Varadarajan, Darrell Whitley |
| 2021 | A rigorous runtime analysis of the 2-MMAS Riade Benbaki, Ziyad Benomar, Benjamin Doerr |
| 2021 | A signal-centric perspective on the evolution of symbolic communication. Quintino Francesco Lotito, Leonardo Lucio Custode, Giovanni Iacca |
| 2021 | A simple evolutionary algorithm guided by local mutations for an efficient RNA design. Nono S. C. Merleau, Matteo Smerlak |
| 2021 | A survey of cluster validity indices for automatic data clustering using differential evolution. Adán José García, Wilfrido Gómez-Flores |
| 2021 | A systematic comparison study on hyperparameter optimisation of graph neural networks for molecular property prediction. Yingfang Yuan, Wenjun Wang, Wei Pang |
| 2021 | Accelerated evolutionary induction of heterogeneous decision trees for gene expression-based classification. Marcin Czajkowski, Krzysztof Jurczuk, Marek Kretowski |
| 2021 | Adaptive scenario subset selection for min-max black-box continuous optimization. Atsuhiro Miyagi, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto |
| 2021 | An effective action covering for multi-label learning classifier systems: a graph-theoretic approach. Shabnam Nazmi, Abdollah Homaifar, Mohd Anwar |
| 2021 | An efficient computational approach for automatic itinerary planning on web servers. Zeyuan Ma, Hongshu Guo, Yinxuan Gui, Yue-Jiao Gong |
| 2021 | An efficient implementation of iterative partial transcription for the traveling salesman problem. Anirban Mukhopadhyay, L. Darrell Whitley, Renato Tinós |
| 2021 | An evolutionary multi-objective feature selection approach for detecting music segment boundaries of specific types. Igor Vatolkin, Fabian Ostermann, Meinard Müller |
| 2021 | Analysis of evolutionary diversity optimisation for permutation problems. Anh Viet Do, Mingyu Guo, Aneta Neumann, Frank Neumann |
| 2021 | Analyzing the impact of product configuration variations on advanced driver assistance systems with search. Kaiou Yin, Paolo Arcaini, Tao Yue, Shaukat Ali |
| 2021 | Ants can solve the parallel drone scheduling traveling salesman problem. Quoc Trung Dinh, Dong Do Duc, Minh Hoàng Hà |
| 2021 | Augmented lagrangian, penalty techniques and surrogate modeling for constrained optimization with CMA-ES. Paul Dufossé, Nikolaus Hansen |
| 2021 | BR-NS: an archive-less approach to novelty search. Achkan Salehi, Alexandre Coninx, Stéphane Doncieux |
| 2021 | Bayesian preference learning for interactive multi-objective optimisation. Kendall Taylor, Huong Ha, Minyi Li, Jeffrey Chan, Xiaodong Li |
| 2021 | Biodiversity in evolved voxel-based soft robots. Eric Medvet, Alberto Bartoli, Federico Pigozzi, Marco Rochelli |
| 2021 | Breeding diverse packings for the knapsack problem by means of diversity-tailored evolutionary algorithms. Jakob Bossek, Aneta Neumann, Frank Neumann |
| 2021 | CoInGP: convolutional inpainting with genetic programming. Domagoj Jakobovic, Luca Manzoni, Luca Mariot, Stjepan Picek, Mauro Castelli |
| 2021 | Coevolution of remaining useful lifetime estimation pipelines for automated predictive maintenance. Tanja Tornede, Alexander Tornede, Marcel Wever, Eyke Hüllermeier |
| 2021 | Coevolutionary modeling of cyber attack patterns and mitigations using public datasets. Michal Shlapentokh-Rothman, Jonathan Kelly, Avital Baral, Erik Hemberg, Una-May O'Reilly |
| 2021 | Concurrent model synchronisation with multiple objectives. Nils Weidmann, Gregor Engels |
| 2021 | Continuously running genetic algorithm for real-time networking device optimization. Amit Mandelbaum, Doron Haritan Kazakov, Natali Shechtman |
| 2021 | Convergence analysis of rule-generality on the XCS classifier system. Yoshiki Nakamura, Motoki Horiuchi, Masaya Nakata |
| 2021 | 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 |
| 2021 | Cooperative coevolutionary multiobjective genetic programming for microarray data classification. Yang Qing, Chi Ma, Yu Zhou, Xiao Zhang, Haowen Xia |
| 2021 | 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 |
| 2021 | Direct linkage discovery with empirical linkage learning. Michal Witold Przewozniczek, Marcin Michal Komarnicki, Bartosz Frej |
| 2021 | Directing evolution: the automated design of evolutionary pathways using directed graphs. Braden N. Tisdale, Deacon Seals, Aaron Scott Pope, Daniel R. Tauritz |
| 2021 | Distance-based subset selection revisited. Ke Shang, Hisao Ishibuchi, Yang Nan |
| 2021 | Diversifying greedy sampling and evolutionary diversity optimisation for constrained monotone submodular functions. Aneta Neumann, Jakob Bossek, Frank Neumann |
| 2021 | Encoding the certainty of boolean variables to improve the guidance for search-based test generation. Sebastian Vogl, Sebastian Schweikl, Gordon Fraser |
| 2021 | Ensemble feature extraction for multi-container quality-diversity algorithms. Leo Cazenille |
| 2021 | Entropy-based evolutionary diversity optimisation for the traveling salesperson problem. Adel Nikfarjam, Jakob Bossek, Aneta Neumann, Frank Neumann |
| 2021 | Environmental selection using a fuzzy classifier for multiobjective evolutionary algorithms. Jinyuan Zhang, Hisao Ishibuchi, Ke Shang, Linjun He, Lie Meng Pang, Yiming Peng |
| 2021 | 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 |
| 2021 | Evolutionary algorithms-assisted construction of cryptographic boolean functions. Claude Carlet, Domagoj Jakobovic, Stjepan Picek |
| 2021 | Evolutionary diversity optimization and the minimum spanning tree problem. Jakob Bossek, Frank Neumann |
| 2021 | Evolutionary meta reinforcement learning for portfolio optimization. Myoung Hoon Ha, Seung-geun Chi, Sangyeop Lee, Yujin Cha, Byung-Ro Moon |
| 2021 | Evolutionary minimization of traffic congestion. Maximilian Böther, Leon Schiller, Philipp Fischbeck, Louise Molitor, Martin S. Krejca, Tobias Friedrich |
| 2021 | Evolvability and complexity properties of the digital circuit genotype-phenotype map. Alden H. Wright, Cheyenne L. Laue |
| 2021 | Evolving and merging hebbian learning rules: increasing generalization by decreasing the number of rules. Joachim Winther Pedersen, Sebastian Risi |
| 2021 | Evolving gaits for damage control in a hexapod robot. Christopher Mailer, Geoff Nitschke, Leanne Raw |
| 2021 | Evolving neural architecture using one shot model. Nilotpal Sinha, Kuan-Wen Chen |
| 2021 | Evolving soft robotic jamming grippers. Seth G. Fitzgerald, Gary W. Delaney, David Howard, Frédéric Maire |
| 2021 | Explorative data analysis of time series based algorithm features of CMA-ES variants. Jacob de Nobel, Hao Wang, Thomas Bäck |
| 2021 | Expressivity of parameterized and data-driven representations in quality diversity search. Alexander Hagg, Sebastian Berns, Alexander Asteroth, Simon Colton, Thomas Bäck |
| 2021 | Fishing for interactions: a network science approach to modeling fish school search. Mariana Macedo, Lydia Taw, Nishant Gurrapadi, Rodrigo C. Lira, Diego Pinheiro, Marcos A. C. Oliveira, Carmelo J. A. Bastos Filho, Ronaldo Menezes |
| 2021 | Fitness landscape analysis of graph neural network architecture search spaces. Matheus Nunes, Paulo M. Fraga, Gisele L. Pappa |
| 2021 | GECCO '21: Genetic and Evolutionary Computation Conference, Lille, France, July 10-14, 2021. Francisco Chicano, Krzysztof Krawiec |
| 2021 | Generalized jump functions. Henry Bambury, Antoine Bultel, Benjamin Doerr |
| 2021 | Generating hard inventory routing problem instances using evolutionary algorithms. Krzysztof Michalak |
| 2021 | Genetic adversarial training of decision trees. Francesco Ranzato, Marco Zanella |
| 2021 | Genetic algorithm niching by (Quasi-)infinite memory. Adrian Worring, Benjamin E. Mayer, Kay Hamacher |
| 2021 | Genetic crossover in the evolution of time-dependent neural networks. Jason Orlosky, Tim Grabowski |
| 2021 | Genetic programming for borderline instance detection in high-dimensional unbalanced classification. Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang |
| 2021 | Genetic programming is naturally suited to evolve bagging ensembles. Marco Virgolin |
| 2021 | Greedy approximated hypervolume subset selection for many-objective optimization. Ke Shang, Hisao Ishibuchi, Weiyu Chen |
| 2021 | Heuristic strategies for solving complex interacting stockpile blending problem with chance constraints. Yue Xie, Aneta Neumann, Frank Neumann |
| 2021 | Hypervolume in biobjective optimization cannot converge faster than Ω(1/ Eugénie Marescaux, Nikolaus Hansen |
| 2021 | Interaction between model and its evolution control in surrogate-assisted CMA evolution strategy. Zbynek Pitra, Marek Hanus, Jan Koza, Jirí Tumpach, Martin Holena |
| 2021 | Interactive evolutionary multiple objective optimization algorithm using a fast calculation of holistic acceptabilities. Michal K. Tomczyk, Milosz Kadzinski |
| 2021 | Landscape features and automated algorithm selection for multi-objective interpolated continuous optimisation problems. Arnaud Liefooghe, Sébastien Vérel, Benjamin Lacroix, Alexandru-Ciprian Zavoianu, John A. W. McCall |
| 2021 | Lazy parameter tuning and control: choosing all parameters randomly from a power-law distribution. Denis Antipov, Maxim Buzdalov, Benjamin Doerr |
| 2021 | Level generation for angry birds with sequential VAE and latent variable evolution. Takumi Tanabe, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto |
| 2021 | Local search pivoting rules and the landscape global structure. Sara Tari, Gabriela Ochoa |
| 2021 | Lower bounds from fitness levels made easy. Benjamin Doerr, Timo Kötzing |
| 2021 | MA-ABC: a memetic algorithm optimizing attractiveness, balance, and cost for capacitated Arc routing problems. Muhilan Ramamoorthy, Stephanie Forrest, Violet R. Syrotiuk |
| 2021 | MAEDyS: multiagent evolution via dynamic skill selection. Enna Sachdeva, Shauharda Khadka, Somdeb Majumdar, Kagan Tumer |
| 2021 | Measuring feature importance of symbolic regression models using partial effects. Guilherme Seidyo Imai Aldeia, Fabrício Olivetti de França |
| 2021 | Metric for evaluating normalization methods in multiobjective optimization. Linjun He, Hisao Ishibuchi, Dipti Srinivasan |
| 2021 | Monte Carlo elites: quality-diversity selection as a multi-armed bandit problem. Konstantinos Sfikas, Antonios Liapis, Georgios N. Yannakakis |
| 2021 | More precise runtime analyses of non-elitist EAs in uncertain environments. Per Kristian Lehre, Xiaoyu Qin |
| 2021 | Multi-emitter MAP-elites: improving quality, diversity and data efficiency with heterogeneous sets of emitters. Antoine Cully |
| 2021 | Multi-objective optimization across multiple concepts: a case study on lattice structure design. Brandon Parker, Hemant Kumar Singh, Tapabrata Ray |
| 2021 | Multi-objective optimization of item selection in computerized adaptive testing. Dena F. Mujtaba, Nihar R. Mahapatra |
| 2021 | Non-elitist evolutionary algorithms excel in fitness landscapes with sparse deceptive regions and dense valleys. Duc-Cuong Dang, Anton V. Eremeev, Per Kristian Lehre |
| 2021 | 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 |
| 2021 | 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 |
| 2021 | Optimal static mutation strength distributions for the (1 Maxim Buzdalov, Carola Doerr |
| 2021 | Optimizing loss functions through multi-variate taylor polynomial parameterization. Santiago Gonzalez, Risto Miikkulainen |
| 2021 | PSAF: a probabilistic surrogate-assisted framework for single-objective optimization. Julian Blank, Kalyanmoy Deb |
| 2021 | PSB2: the second program synthesis benchmark suite. Thomas Helmuth, Peter Kelly |
| 2021 | Parallel differential evolution applied to interleaving generation with precedence evaluation of tentative solutions. Hayato Noguchi, Tomohiro Harada, Ruck Thawonmas |
| 2021 | Pareto compliance from a practical point of view. Jesús Guillermo Falcón-Cardona, Saúl Zapotecas Martínez, Abel García-Nájera |
| 2021 | Partition crossover for continuous optimization: ePX. Renato Tinós, Darrell Whitley, Francisco Chicano, Gabriela Ochoa |
| 2021 | Personalizing performance regression models to black-box optimization problems. Tome Eftimov, Anja Jankovic, Gorjan Popovski, Carola Doerr, Peter Korosec |
| 2021 | Policy gradient assisted MAP-Elites. Olle Nilsson, Antoine Cully |
| 2021 | Policy manifold search: exploring the manifold hypothesis for diversity-based neuroevolution. Nemanja Rakicevic, Antoine Cully, Petar Kormushev |
| 2021 | Quadratization of gray coded representations, long path problems and needle functions. Darrell Whitley, Francisco Chicano, Hernán E. Aguirre |
| 2021 | Quick extreme hypervolume contribution algorithm. Andrzej Jaszkiewicz, Piotr Zielniewicz |
| 2021 | Real-like MAX-SAT instances and the landscape structure across the phase transition. Francisco Chicano, Gabriela Ochoa, Marco Tomassini |
| 2021 | Realistic utility functions prove difficult for state-of-the-art interactive multiobjective optimization algorithms. Seyed Mahdi Shavarani, Manuel López-Ibáñez, Joshua D. Knowles |
| 2021 | Regularized evolutionary population-based training. Jason Zhi Liang, Santiago Gonzalez, Hormoz Shahrzad, Risto Miikkulainen |
| 2021 | Resource availability and the evolution of cooperation in a 3D agent-based simulation. Lara Dal Molin, Jasmeen Kanwal, Christopher Stone |
| 2021 | 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 |
| 2021 | Saddle point optimization with approximate minimization oracle. Youhei Akimoto |
| 2021 | 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 |
| 2021 | Self-adjusting population sizes for non-elitist evolutionary algorithms: why success rates matter. Mario Alejandro Hevia Fajardo, Dirk Sudholt |
| 2021 | Self-referential quality diversity through differential MAP-Elites. Tae Jong Choi, Julian Togelius |
| 2021 | Signal propagation in a gradient-based and evolutionary learning system. Jamal Toutouh, Una-May O'Reilly |
| 2021 | Simulated annealing for symbolic regression. Daniel Kantor, Fernando J. Von Zuben, Fabrício Olivetti de França |
| 2021 | Solving the paintshop scheduling problem with memetic algorithms. Wolfgang Weintritt, Nysret Musliu, Felix Winter |
| 2021 | Sparse reward exploration via novelty search and emitters. Giuseppe Paolo, Alexandre Coninx, Stéphane Doncieux, Alban Laflaquière |
| 2021 | Speed benchmarking of genetic programming frameworks. Francisco Baeta, João Correia, Tiago Martins, Penousal Machado |
| 2021 | Stagnation detection in highly multimodal fitness landscapes. Amirhossein Rajabi, Carsten Witt |
| 2021 | Stasis type particle stability in a stochastic model of particle swarm optimization. Tomasz Kulpa, Krzysztof Trojanowski, Krzysztof Wójcik |
| 2021 | The Environment and Body-Brain Complexity. Christina Spanellis, Brooke Stewart, Geoff Nitschke |
| 2021 | The impact of hyper-parameter tuning for landscape-aware performance regression and algorithm selection. Anja Jankovic, Gorjan Popovski, Tome Eftimov, Carola Doerr |
| 2021 | The paradox of choice in evolving swarms: information overload leads to limited sensing. Calum C. Imrie, J. Michael Herrmann, Olaf Witkowski |
| 2021 | The tiebreaking space of constructive heuristics for the permutation flowshop minimizing makespan. Marcus Ritt, Alexander J. Benavides |
| 2021 | Towards effective GP multi-class classification based on dynamic targets. Stefano Ruberto, Valerio Terragni, Jason H. Moore |
| 2021 | Towards exploratory landscape analysis for large-scale optimization: a dimensionality reduction framework. Ryoji Tanabe |
| 2021 | Training spiking neural networks with a multi-agent evolutionary robotics framework. Souvik Das, Anirudh Shankar, Vaneet Aggarwal |
| 2021 | Two-stage multi-objective genetic programming with archive for uncertain capacitated arc routing problem. Shaolin Wang, Yi Mei, Mengjie Zhang |
| 2021 | Unbalanced mallows models for optimizing expensive black-box permutation problems. Ekhine Irurozki, Manuel López-Ibáñez |
| 2021 | Using multiple generative adversarial networks to build better-connected levels for mega man. Benjamin Capps, Jacob Schrum |
| 2021 | Using novelty search to explicitly create diversity in ensembles of classifiers. Rui P. Cardoso, Emma Hart, David Burth Kurka, Jeremy V. Pitt |
| 2021 | When non-elitism meets time-linkage problems. Weijie Zheng, Qiaozhi Zhang, Huanhuan Chen, Xin Yao |
| 2021 | 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 |
| 2021 | Zoetrope genetic programming for regression. Aurélie Boisbunon, Carlo Fanara, Ingrid Grenet, Jonathan Daeden, Alexis Vighi, Marc Schoenauer |