| 2022 | A biased random key genetic algorithm applied to target set selection in viral marketing. Albert López Serrano, Christian Blum |
| 2022 | A bounded archive based for bi-objective problems based on distance and e-dominance to avoid cyclic behavior. Carlos Hernández, Oliver Schütze |
| 2022 | A classification-assisted level-based learning evolutionary algorithm for expensive multiobjective optimization problems. Zhuo Liu, Xiaolin Xiao, Feng-Feng Wei, Wei-Neng Chen |
| 2022 | A collection of deep learning-based feature-free approaches for characterizing single-objective continuous fitness landscapes. Moritz Vinzent Seiler, Raphael Patrick Prager, Pascal Kerschke, Heike Trautmann |
| 2022 | A multi-objective evolutionary algorithm with new reproduction and decomposition mechanisms for the multi-point dynamic aggregation problem. Guanqiang Gao, Bin Xin, Yi Mei, Shengyu Lu, Shuxin Ding |
| 2022 | A new Ant colony optimization metaheuristic based on pheromone guided local search instead of constructive approach. Samia Sammoud, Inès Alaya |
| 2022 | A two-phase framework with a bézier simplex-based interpolation method for computationally expensive multi-objective optimization. Ryoji Tanabe, Youhei Akimoto, Ken Kobayashi, Hiroshi Umeki, Shinichi Shirakawa, Naoki Hamada |
| 2022 | Absumption based on overgenerality and condition-clustering based specialization for XCS with continuous-valued inputs. Hiroki Shiraishi, Yohei Hayamizu, Hiroyuki Sato, Keiki Takadama |
| 2022 | Adapting novelty towards generating antigens for antivirus systems. Ritwik Murali, C. Shunmuga Velayutham |
| 2022 | Adaptive objective configuration in bi-objective evolutionary optimization for cervical cancer brachytherapy treatment planning. Leah R. M. Dickhoff, Ellen M. Kerkhof, Heloisa H. Deuzeman, Carien L. Creutzberg, Tanja Alderliesten, Peter A. N. Bosman |
| 2022 | Adaptive phototaxis of a swarm of mobile robots using positive and negative feedback self-alignment. Yoones Mirhosseini, Matan Yah Ben Zion, Olivier Dauchot, Nicolas Bredèche |
| 2022 | Addressing tactic volatility in self-adaptive systems using evolved recurrent neural networks and uncertainty reduction tactics. Aizaz Ul Haq, Niranjana Deshpande, AbdElRahman ElSaid, Travis Desell, Daniel E. Krutz |
| 2022 | An enhanced adaptive geometry evolutionary algorithm using stochastic diversity mechanism. Fodil Benali, Damien Bodénès, Cyril De Runz, Nicolas Labroche |
| 2022 | An evolutionary fragment-based approach to molecular fingerprint reconstruction. Tim Cofala, Oliver Kramer |
| 2022 | An improved Pareto front modeling algorithm for large-scale many-objective optimization. Annibale Panichella |
| 2022 | Analysis of a gray-box operator for vertex cover. Samuel Baguley, Tobias Friedrich, Timo Kötzing, Xiaoyue Li, Marcus Pappik, Ziena Zeif |
| 2022 | Analyzing multi-agent reinforcement learning and coevolution in cybersecurity. Matthew J. Turner, Erik Hemberg, Una-May O'Reilly |
| 2022 | Analyzing the impact of undersampling on the benchmarking and configuration of evolutionary algorithms. Diederick Vermetten, Hao Wang, Manuel López-Ibáñez, Carola Doerr, Thomas Bäck |
| 2022 | Approximating gradients for differentiable quality diversity in reinforcement learning. Bryon Tjanaka, Matthew C. Fontaine, Julian Togelius, Stefanos Nikolaidis |
| 2022 | Are evolutionary algorithms safe optimizers? Youngmin Kim, Richard Allmendinger, Manuel López-Ibáñez |
| 2022 | Assessing evolutionary terrain generation methods for curriculum reinforcement learning. David Howard, Humphrey Munn, Davide Dolcetti, Josh Kannemeyer, Nicole L. Robinson |
| 2022 | Automated algorithm selection for radar network configuration. Quentin Renau, Johann Dréo, Alain Peres, Yann Semet, Carola Doerr, Benjamin Doerr |
| 2022 | Automated grammar-based feature selection in symbolic regression. Muhammad Sarmad Ali, Meghana Kshirsagar, Enrique Naredo, Conor Ryan |
| 2022 | Better approximation guarantees for the NSGA-II by using the current crowding distance. Weijie Zheng, Benjamin Doerr |
| 2022 | Black-box min-max continuous optimization using CMA-ES with worst-case ranking approximation. Atsuhiro Miyagi, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto |
| 2022 | Boomerang-shaped neural embeddings for NK landscapes. Roberto Santana, Arnaud Liefooghe, Bilel Derbel |
| 2022 | Bug report summarization using multi-view multi-objective optimization framework. Santosh Kumar Mishra, Harshavardhan Kundarapu, Sayantan Mitra, Sriparna Saha, Pushpak Bhattacharyya |
| 2022 | CMA-ES with margin: lower-bounding marginal probability for mixed-integer black-box optimization. Ryoki Hamano, Shota Saito, Masahiro Nomura, Shinichi Shirakawa |
| 2022 | Can the same rule representation change its matching area?: enhancing representation in XCS for continuous space by probability distribution in multiple dimension. Hiroki Shiraishi, Yohei Hayamizu, Hiroyuki Sato, Keiki Takadama |
| 2022 | Choose your programming copilot: a comparison of the program synthesis performance of github copilot and genetic programming. Dominik Sobania, Martin Briesch, Franz Rothlauf |
| 2022 | Co-evolutionary probabilistic structured grammatical evolution. Jessica Mégane, Nuno Lourenço, Penousal Machado |
| 2022 | Coevolutionary Pareto diversity optimization. Aneta Neumann, Denis Antipov, Frank Neumann |
| 2022 | Coevolutionary generative adversarial networks for medical image augumentation at scale. Diana Flores, Erik Hemberg, Jamal Toutouh, Una-May O'Reilly |
| 2022 | Comparing optimistic and pessimistic constraint evaluation in shape-constrained symbolic regression. Christian Haider, Fabrício Olivetti de França, Gabriel Kronberger, Bogdan Burlacu |
| 2022 | Component-wise analysis of automatically designed multiobjective algorithms on constrained problems. Yuri Cossich Lavinas, Marcelo Ladeira, Gabriela Ochoa, Claus Aranha |
| 2022 | Cost-vs-accuracy of sampling in multi-objective combinatorial exploratory landscape analysis. Raphaël Cosson, Bilel Derbel, Arnaud Liefooghe, Sébastien Vérel, Hernán E. Aguirre, Qingfu Zhang, Kiyoshi Tanaka |
| 2022 | Crossover for cardinality constrained optimization. Tobias Friedrich, Timo Kötzing, Aishwarya Radhakrishnan, Leon Schiller, Martin Schirneck, Georg Tennigkeit, Simon Wietheger |
| 2022 | Deep surrogate assisted MAP-elites for automated hearthstone deckbuilding. Yulun Zhang, Matthew C. Fontaine, Amy K. Hoover, Stefanos Nikolaidis |
| 2022 | Defending active directory by combining neural network based dynamic program and evolutionary diversity optimisation. Diksha Goel, Max Hector Ward-Graham, Aneta Neumann, Frank Neumann, Hung Nguyen, Mingyu Guo |
| 2022 | DiBB: distributing black-box optimization. Giuseppe Cuccu, Luca Rolshoven, Fabien Vorpe, Philippe Cudré-Mauroux, Tobias Glasmachers |
| 2022 | Diversifying behaviors for learning in asymmetric multiagent systems. Gaurav Dixit, Everardo Gonzalez, Kagan Tumer |
| 2022 | Diversity policy gradient for sample efficient quality-diversity optimization. Thomas Pierrot, Valentin Macé, Félix Chalumeau, Arthur Flajolet, Geoffrey Cideron, Karim Beguir, Antoine Cully, Olivier Sigaud, Nicolas Perrin-Gilbert |
| 2022 | Drils revisited: on the combination of perturbation with graybox optimization techniques. Lorenzo Canonne, Bilel Derbel |
| 2022 | Dynamics-aware novelty search with behavior repulsion. Kang Xu, Yan Ma, Wei Li |
| 2022 | Effective mutation rate adaptation through group elite selection. Akarsh Kumar, Bo Liu, Risto Miikkulainen, Peter Stone |
| 2022 | Effects of imputation strategy on genetic algorithms and neural networks on a binary classification problem. Esteban Segarra Martinez, Stephen V. Maldonado, Annie S. Wu, Ryan P. McMahan, Xinliang Liu, Blake Oakley |
| 2022 | Efficient heuristics and metaheuristics for the unrelated parallel machine scheduling problem with release dates and setup times. Mohamed Elamine Athmani, Taha Arbaoui, Younes Mimene, Farouk Yalaoui |
| 2022 | Environment driven dynamic decomposition for cooperative coevolution of multi-agent systems. Luke Kelly, Martin Masek, Chiou Peng Lam |
| 2022 | Environment induced emergence of collective behavior in evolving swarms with limited sensing. Fuda van Diggelen, Jie Luo, Tugay Alperen Karagüzel, Nicolas Cambier, Eliseo Ferrante, A. E. Eiben |
| 2022 | EvoIsland: interactive evolution via an island-inspired spatial user interface framework. Alexander Ivanov, Wesley Willett, Christian Jacob |
| 2022 | EvoRobogami: co-designing with humans in evolutionary robotics experiments. Zonghao Huang, Quinn Wu, David Howard, Cynthia R. Sung |
| 2022 | Evolutionary bi-objective optimization for the electric vehicle charging stand infrastructure problem. Rolando Armas, Hernán E. Aguirre, Daniel Orellana |
| 2022 | Evolutionary diversity optimisation for the traveling thief problem. Adel Nikfarjam, Aneta Neumann, Frank Neumann |
| 2022 | Evolutionary feature selection: a novel wrapper feature selection architecture based on evolutionary strategies. Aaryan Dubey, Alexandre Hoppe Inoue, Pedro Terra Fernandes Birmann, Sammuel Ramos da Silva |
| 2022 | Evolutionary neural cascade search across supernetworks. Alexander Chebykin, Tanja Alderliesten, Peter A. N. Bosman |
| 2022 | Evolvability degeneration in multi-objective genetic programming for symbolic regression. Dazhuang Liu, Marco Virgolin, Tanja Alderliesten, Peter A. N. Bosman |
| 2022 | Evolving constructions for balanced, highly nonlinear boolean functions. Claude Carlet, Marko Djurasevic, Domagoj Jakobovic, Luca Mariot, Stjepan Picek |
| 2022 | Evolving generalizable multigrid-based helmholtz preconditioners with grammar-guided genetic programming. Jonas Schmitt, Harald Köstler |
| 2022 | Evolving labelings of graceful graphs. Luke Branson, Andrew M. Sutton |
| 2022 | Evolving modular soft robots without explicit inter-module communication using local self-attention. Federico Pigozzi, Yujin Tang, Eric Medvet, David Ha |
| 2022 | Evolving programmable computational metamaterials. Atoosa Parsa, Dong Wang, Corey S. O'Hern, Mark D. Shattuck, Rebecca Kramer-Bottiglio, Josh C. Bongard |
| 2022 | Evolving transferable neural pruning functions. Yuchen Liu, Sun-Yuan Kung, David Wentzlaff |
| 2022 | Expensive optimization with production-graph resource constraints: a first look at a new problem class. Stefan Pricopie, Richard Allmendinger, Manuel López-Ibáñez, Clyde Fare, Matt Benatan, Joshua D. Knowles |
| 2022 | Exploring hidden semantics in neural networks with symbolic regression. Yuanzhen Luo, Qiang Lu, Xilei Hu, Jake Luo, Zhiguang Wang |
| 2022 | Exploring the feature space of TSP instances using quality diversity. Jakob Bossek, Frank Neumann |
| 2022 | Fast non-elitist evolutionary algorithms with power-law ranking selection. Duc-Cuong Dang, Anton V. Eremeev, Per Kristian Lehre, Xiaoyu Qin |
| 2022 | Fitness shaping for multiple teams. Joshua Cook, Kagan Tumer |
| 2022 | Functional code building genetic programming. Edward R. Pantridge, Thomas Helmuth, Lee Spector |
| 2022 | GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9 - 13, 2022 Jonathan E. Fieldsend, Markus Wagner |
| 2022 | GPU-accelerated parallel gene-pool optimal mixing in a gray-box optimization setting. Anton Bouter, Peter A. N. Bosman |
| 2022 | Genetic algorithm for qubits initialisation in noisy intermediate-scale quantum machines: the IBM case study. Zakaria Abdelmoiz Dahi, Francisco Chicano, Gabriel Luque, Enrique Alba |
| 2022 | Genetic programming for structural similarity design at multiple spatial scales. Illya Bakurov, Marco Buzzelli, Mauro Castelli, Raimondo Schettini, Leonardo Vanneschi |
| 2022 | Graph-based linear genetic programming: a case study of dynamic scheduling. Zhixing Huang, Yi Mei, Fangfang Zhang, Mengjie Zhang |
| 2022 | Guided local search with an adaptive neighbourhood size heuristic for large scale vehicle routing problems. João Guilherme Cavalcanti Costa, Yi Mei, Mengjie Zhang |
| 2022 | Guiding surrogate-assisted multi-objective optimisation with decision maker preferences. Finley J. Gibson, Richard M. Everson, Jonathan E. Fieldsend |
| 2022 | Hard problems are easier for success-based parameter control. Mario Alejandro Hevia Fajardo, Dirk Sudholt |
| 2022 | Hierarchical quality-diversity for online damage recovery. Maxime Allard, Simón C. Smith, Konstantinos I. Chatzilygeroudis, Antoine Cully |
| 2022 | High performance evolutionary computation with tensor-based acceleration. Jonatan Klosko, Mateusz Benecki, Grzegorz Wcislo, Jacek Dajda, Wojciech Turek |
| 2022 | High-performance evolutionary algorithms for online neuron control. Binxu Wang, Carlos R. Ponce |
| 2022 | Hybridizing bio-inspired strategies with infotaxis through genetic programming. João Macedo, Lino Marques, Ernesto Costa |
| 2022 | Hyperparameter tuning in echo state networks. Filip Matzner |
| 2022 | Identifying the source of an epidemic using particle swarm optimization. John Magee, Viplove Arora, Mario Ventresca |
| 2022 | Illuminating diverse neural cellular automata for level generation. Sam Earle, Justin Snider, Matthew C. Fontaine, Stefanos Nikolaidis, Julian Togelius |
| 2022 | Improved regression models for algorithm configuration. Marcelo de Souza, Marcus Ritt |
| 2022 | Improving LSHADE by means of a pre-screening mechanism. Mateusz Zaborski, Jacek Mandziuk |
| 2022 | Improving source-code representations to enhance search-based software repair. Pemma Reiter, Antonio M. Espinoza, Adam Doupé, Ruoyu Wang, Westley Weimer, Stephanie Forrest |
| 2022 | Is the revisited hypervolume an appropriate quality indicator to evaluate multi-objective test case selection algorithms? Aitor Arrieta |
| 2022 | Iterated local search with perturbation based on variables interaction for pseudo-boolean optimization. Renato Tinós, Michal Witold Przewozniczek, Darrell Whitley |
| 2022 | LUCIE: an evaluation and selection method for stochastic problems. Erwan Lecarpentier, Paul Templier, Emmanuel Rachelson, Dennis G. Wilson |
| 2022 | Learning rate adaptation by line search in evolution strategies with recombination. Armand Gissler, Anne Auger, Nikolaus Hansen |
| 2022 | Learning the characteristics of engineering optimization problems with applications in automotive crash. Fu Xing Long, Bas van Stein, Moritz Frenzel, Peter Krause, Markus Gitterle, Thomas Bäck |
| 2022 | Learning to walk autonomously via reset-free quality-diversity. Bryan Lim, Alexander Reichenbach, Antoine Cully |
| 2022 | Lexi Allan de Lima, Samuel Carvalho, Douglas Mota Dias, Enrique Naredo, Joseph P. Sullivan, Conor Ryan |
| 2022 | Local optima organize into lattices under recombination: an example using the traveling salesman problem. Darrell Whitley, Gabriela Ochoa |
| 2022 | Local ranking explanation for genetic programming evolved routing policies for uncertain capacitated Arc routing problems. Shaolin Wang, Yi Mei, Mengjie Zhang |
| 2022 | MBORE: multi-objective Bayesian optimisation by density-ratio estimation. George De Ath, Tinkle Chugh, Alma A. M. Rahat |
| 2022 | MOLE: digging tunnels through multimodal multi-objective landscapes. Lennart Schäpermeier, Christian Grimme, Pascal Kerschke |
| 2022 | Measuring failed disruption propagation in genetic programming. William B. Langdon, Afnan A. Al-Subaihin, David Clark |
| 2022 | Measuring optimiser performance on a conical barrier tree benchmark. Itshak Tkach, Tim Blackwell |
| 2022 | Metaheuristic algorithms for the bus driver scheduling problem with complex break constraints. Lucas Kletzander, Tommaso Mannelli Mazzoli, Nysret Musliu |
| 2022 | Minimal neural network models for permutation invariant agents. Joachim Winther Pedersen, Sebastian Risi |
| 2022 | Monotone improvement of information-geometric optimization algorithms with a surrogate function. Youhei Akimoto |
| 2022 | Multi-modal multi-objective model-based genetic programming to find multiple diverse high-quality models. E. M. C. Sijben, Tanja Alderliesten, Peter A. N. Bosman |
| 2022 | Multi-objective NK landscapes with heterogeneous objectives. Raphaël Cosson, Roberto Santana, Bilel Derbel, Arnaud Liefooghe |
| 2022 | Multi-objective QUBO solver: bi-objective quadratic assignment problem. Mayowa Ayodele, Richard Allmendinger, Manuel López-Ibáñez, Matthieu Parizy |
| 2022 | Multi-objective framework for quantile forecasting in financial time series using transformers. Samuel López-Ruiz, Carlos Ignacio Hernández Castellanos, Katya Rodríguez-Vázquez |
| 2022 | Multi-objective metamorphic follow-up test case selection for deep learning systems. Aitor Arrieta |
| 2022 | Multi-objective quality diversity optimization. Thomas Pierrot, Guillaume Richard, Karim Beguir, Antoine Cully |
| 2022 | Multi-point acquisition function for constraint parallel efficient multi-objective optimization. Roy de Winter, Bas van Stein, Thomas Bäck |
| 2022 | Mutation-based test generation for quantum programs with multi-objective search. Xinyi Wang, Tongxuan Yu, Paolo Arcaini, Tao Yue, Shaukat Ali |
| 2022 | Negative learning Ant colony optimization for network alignment. Guillem Rodríguez Corominas, Christian Blum, Maria J. Blesa |
| 2022 | Neural architecture search using progressive evolution. Nilotpal Sinha, Kuan-Wen Chen |
| 2022 | Neuroevolution-enhanced multi-objective optimization for mixed-precision quantization. Santiago Miret, Vui Seng Chua, Mattias Marder, Mariano Phielipp, Nilesh Jain, Somdeb Majumdar |
| 2022 | Niching-based evolutionary diversity optimization for the traveling salesperson problem. Anh Viet Do, Mingyu Guo, Aneta Neumann, Frank Neumann |
| 2022 | Novel ensemble collaboration method for dynamic scheduling problems. Marko Durasevic, Lucija Planinic, Francisco Javier Gil Gala, Domagoj Jakobovic |
| 2022 | On funnel depths and acceptance criteria in stochastic local search. Sarah L. Thomson, Gabriela Ochoa |
| 2022 | On genetic programming representations and fitness functions for interpretable dimensionality reduction. Thomas Uriot, Marco Virgolin, Tanja Alderliesten, Peter A. N. Bosman |
| 2022 | On optimal static and dynamic parameter choices for fixed-target optimization. Dmitry Vinokurov, Maxim Buzdalov |
| 2022 | On the use of quality diversity algorithms for the traveling thief problem. Adel Nikfarjam, Aneta Neumann, Frank Neumann |
| 2022 | On turning black - into dark gray-optimization with the direct empirical linkage discovery and partition crossover. Michal Witold Przewozniczek, Renato Tinós, Bartosz Frej, Marcin M. Komarnicki |
| 2022 | Optimising autonomous robot swarm parameters for stable formation design. Daniel H. Stolfi, Grégoire Danoy |
| 2022 | PLAN: a leafcutter ant colony optimization algorithm for ride-hailing services. Anoushka Alavilli, Mai Vu |
| 2022 | PRE-NAS: predictor-assisted evolutionary neural architecture search. Yameng Peng, Andy Song, Vic Ciesielski, Haytham M. Fayek, Xiaojun Chang |
| 2022 | Parallelization of corner sort with CUDA for many-objective optimization. Vandana Bharti, Aryan Singhal, Anant Saxena, Bhaskar Biswas, Kaushal Kumar Shukla |
| 2022 | Pittsburgh learning classifier systems for explainable reinforcement learning: comparing with XCS. Jordan T. Bishop, Marcus Gallagher, Will N. Browne |
| 2022 | Plasticity and evolvability under environmental variability: the joint role of fitness-based selection and niche-limited competition. Eleni Nisioti, Clément Moulin-Frier |
| 2022 | Procedural content generation using neuroevolution and novelty search for diverse video game levels. Michael Beukman, Christopher W. Cleghorn, Steven James |
| 2022 | Progressive sampling surrogate-assisted particle swarm optimization for large-scale expensive optimization. Hong-rui Wang, Chun-Hua Chen, Yun Li, Jun Zhang, Zhi-Hui Zhan |
| 2022 | RTune: a RocksDB tuning system with deep genetic algorithm. Huijun Jin, Jieun Lee, Sanghyun Park |
| 2022 | RankNEAT: outperforming stochastic gradient search in preference learning tasks. Kosmas Pinitas, Konstantinos Makantasis, Antonios Liapis, Georgios N. Yannakakis |
| 2022 | Reducing the cost of partition crossover on large MAXSAT problems: the PX-preprocessor. Preston Dunton, Darrell Whitley |
| 2022 | Region of interest based non-dominated sorting genetic algorithm-II: an invite and conquer approach. Manu Manuel, Benjamin Hien, Simon Conrady, Arne Kreddig, Nguyen Anh Vu Doan, Walter Stechele |
| 2022 | Relevance-guided unsupervised discovery of abilities with quality-diversity algorithms. Luca Grillotti, Antoine Cully |
| 2022 | Reproducibility and baseline reporting for dynamic multi-objective benchmark problems. Daniel Herring, Michael Kirley, Xin Yao |
| 2022 | Runtime analysis of competitive co-evolutionary algorithms for maximin optimisation of a bilinear function. Per Kristian Lehre |
| 2022 | SELECTOR: selecting a representative benchmark suite for reproducible statistical comparison. Gjorgjina Cenikj, Ryan Dieter Lang, Andries Petrus Engelbrecht, Carola Doerr, Peter Korosec, Tome Eftimov |
| 2022 | Self-adaptation via multi-objectivisation: a theoretical study. Per Kristian Lehre, Xiaoyu Qin |
| 2022 | Simple genetic operators are universal approximators of probability distributions (and other advantages of expressive encodings). Elliot Meyerson, Xin Qiu, Risto Miikkulainen |
| 2022 | Simulated annealing is a polynomial-time approximation scheme for the minimum spanning tree problem. Benjamin Doerr, Amirhossein Rajabi, Carsten Witt |
| 2022 | Social learning particle swarm optimization with two-surrogate collaboration for offline data-driven multiobjective optimization. Qi-Te Yang, Zhi-Hui Zhan, Yun Li, Jun Zhang |
| 2022 | Solving multi-structured problems by introducing linkage kernels into GOMEA. Arthur Guijt, Dirk Thierens, Tanja Alderliesten, Peter A. N. Bosman |
| 2022 | Surrogate-assisted neuroevolution. Bryson Greenwood, Tyler McDonnell |
| 2022 | Swarm led tomographic reconstruction. Mohammad Majid al-Rifaie, Tim Blackwell |
| 2022 | TAGA: a transfer-based black-box adversarial attack with genetic algorithms. Liang-Jung Huang, Tian-Li Yu |
| 2022 | Taylor genetic programming for symbolic regression. Baihe He, Qiang Lu, Qingyun Yang, Jake Luo, Zhiguang Wang |
| 2022 | The (1 + (λ, λ)) global SEMO algorithm. Benjamin Doerr, Omar El Hadri, Adrien Pinard |
| 2022 | The Bayesian learning classifier system: implementation, replicability, comparison with XCSF. David Pätzel, Jörg Hähner |
| 2022 | The compact genetic algorithm struggles on Cliff functions. Frank Neumann, Dirk Sudholt, Carsten Witt |
| 2022 | The importance of landscape features for performance prediction of modular CMA-ES variants. Ana Kostovska, Diederick Vermetten, Saso Dzeroski, Carola Doerr, Peter Korosec, Tome Eftimov |
| 2022 | The influence of noise on multi-parent crossover for an island model GA. Brahim Aboutaib, Andrew M. Sutton |
| 2022 | Theory-inspired parameter control benchmarks for dynamic algorithm configuration. André Biedenkapp, Nguyen Dang, Martin S. Krejca, Frank Hutter, Carola Doerr |
| 2022 | Towards a stronger theory for permutation-based evolutionary algorithms. Benjamin Doerr, Yassine Ghannane, Marouane Ibn Brahim |
| 2022 | Towards explainable real estate valuation via evolutionary algorithms. Sebastian Angrick, Ben Bals, Niko Hastrich, Maximilian Kleissl, Jonas Schmidt, Vanja Doskoc, Louise Molitor, Tobias Friedrich, Maximilian Katzmann |
| 2022 | Transformation-interaction-rational representation for symbolic regression. Fabrício Olivetti de França |
| 2022 | Understanding AutoML search spaces with local optima networks. Matheus Cândido Teixeira, Gisele L. Pappa |
| 2022 | Understanding the cost of fitness evaluation for subset selection: Markov chain analysis of stochastic local search. Ole Jakob Mengshoel, Eirik Lund Flogard, Tong Yu, Jon Riege |
| 2022 | Unsupervised framework for comment-based multi-document extractive summarization. Vishal Singh Roha, Naveen Saini, Sriparna Saha, José G. Moreno |
| 2022 | Using phylogenetic analysis to enhance genetic improvement. Penny Faulkner Rainford, Barry Porter |
| 2022 | What makes the dynamic capacitated Arc routing problem hard to solve: insights from fitness landscape analysis. Hao Tong, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, Xin Yao |