| 2022 | Recent developments in HNCO. | Arnaud Berny |
| 2022 | COIL: Constrained optimization in learned latent space: learning representations for valid solutions. | Peter J. Bentley, Soo Ling Lim, Adam Gaier, Linh Tran |
| 2022 | Estimating the quality of initial populations in multi-objective evolutionary algorithms. | Tobias Benecke, Sanaz Mostaghim |
| 2022 | An enhanced adaptive geometry evolutionary algorithm using stochastic diversity mechanism. | Fodil Benali, Damien Bodns, Cyril De Runz, Nicolas Labroche |
| 2022 | Evolutionary-based automated testing for GraphQL APIs. | Asma Belhadi, Man Zhang, Andrea Arcuri |
| 2022 | DynStack: a benchmarking framework for dynamic optimization problems in warehouse operations. | Andreas Beham, Sebastian Leitner, Johannes Karder, Bernhard Werth, Stefan Wagner |
| 2022 | Evolving a cloud-robust water index with genetic programming. | Joo E. Batista, Sara Silva |
| 2022 | Fitness diversification in the service of fitness optimization: a comparison study. | Kamil Basiukajc, Maciej Komosinski, Konrad Miazga |
| 2022 | Ant colony optimization with shortest distance biased dispatch for visiting constrained multiple traveling salesmen problem. | Cong Bao, Qiang Yang, Xu-Dong Gao, Zhenyu Lu, Jun Zhang |
| 2022 | Genetic programming for structural similarity design at multiple spatial scales. | Illya Bakurov, Marco Buzzelli, Mauro Castelli, Raimondo Schettini, Leonardo Vanneschi |
| 2022 | Probabilistic reasoning as quadratic unconstrained binary optimization. | Marco Baioletti |
| 2022 | Analysis of a gray-box operator for vertex cover. | Samuel Baguley, Tobias Friedrich, Timo Ktzing, Xiaoyue Li, Marcus Pappik, Ziena Zeif |
| 2022 | Exploring expression-based generative adversarial networks. | Francisco Baeta, Joo Correia, Tiago Martins, Penousal Machado |
| 2022 | TGPGAN: towards expression-based generative adversarial networks. | Francisco Baeta, Joo Correia, Tiago Martins, Penousal Machado |
| 2022 | McCall, David Walker: The intersection of evolutionary computation and explainable AI. | Jaume Bacardit, Alexander E. I. Brownlee, Stefano Cagnoni, Giovanni Iacca, John A. W |
| 2022 | Multi-objective QUBO solver: bi-objective quadratic assignment problem. | Mayowa Ayodele, Richard Allmendinger, Manuel Lpez-Ibez, Matthieu Parizy |
| 2022 | Evolutionary generation of metamorphic relations for cyber-physical systems. | Jon Ayerdi, Valerio Terragni, Aitor Arrieta, Paolo Tonella, Goiuria Sagardui, Maite Arratibel |
| 2022 | Entropy-based local fitnesses for evolutionary multiagent systems. | Ayhan Alp Aydeniz, Anna Nickelson, Kagan Tumer |
| 2022 | A (biased) introduction to benchmarking. | Anne Auger, Nikolaus Hansen |
| 2022 | Constrained blackbox optimization with the NOMAD solver on the COCO constrained test suite. | Charles Audet, Sbastien Le Digabel, Ludovic Salomon, Christophe Tribes |
| 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 | MBORE: multi-objective Bayesian optimisation by density-ratio estimation. | George De Ath, Tinkle Chugh, Alma A. M. Rahat |
| 2022 | Implementing the cumulative difference plot in the IOHanalyzer. | Etor Arza, Josu Ceberio, Ekhie Irurozki, Aritz Prez |
| 2022 | Minimal criterion artist collective. | Kai Arulkumaran, Thu Nguyen-Phuoc |
| 2022 | Multi-objective metamorphic follow-up test case selection for deep learning systems. | Aitor Arrieta |