| 2023 | Stability, Entropy and Performance in PSO. | Yurdusev Yakup Akan, J. Michael Herrmann |
| 2023 | A New Genetic Programming Representation for Feature Learning in Skin Cancer Detection. | Qurrat Ul Ain, Harith Al-Sahaf, Bing Xue, Mengjie Zhang |
| 2023 | A New Metaheuristic-Algorithm Similarity Measure Using Signal Flow Diagrams. | Thimershen Achary, Anban W. Pillay, Edgar Jembere |
| 2023 | Optimization of MFCCs for Time Signature Detection Using Genetic Algorithm. | Jeremiah Abimbola, Daniel Kostrzewa, Pawel Kasprowski |
| 2023 | Probabilistic Lexicase Selection. | Li Ding, Edward R. Pantridge, Lee Spector |
| 2023 | ELEA - Build your own Evolutionary Algorithm in your Browser. | Markus Wagner, Erik Kohlros, Gerome Quantmeyer, Timo Ktzing |
| 2023 | Metaheuristic Optimization for Transmission Network Expansion Planning: Testebed 2 of the Competition on Evolutionary Computation in the Energy Domain. | Jos Almeida, Fernando Lezama, Joo P. Soares, Leonardo H. Macedo, Zita Vale, Rubn Romero |
| 2023 | Replicable Self-Documenting Experiments with Arbitrary Search Spaces and Algorithms. | Thomas Weise, Zhize Wu |
| 2023 | 3-Objective Pareto Optimization for Problems with Chance Constraints. | Frank Neumann, Carsten Witt |
| 2023 | (1+1)-CMA-ES with Margin for Discrete and Mixed-Integer Problems. | Yohei Watanabe, Kento Uchida, Ryoki Hamano, Shota Saito, Masahiro Nomura, Shinichi Shirakawa |
| 2023 | Evolutionary computation for stochastic problems. | Frank Neumann, Aneta Neumann, Hemant K. Singh |
| 2023 | Transfer Learning for Embodied Neuroevolution. | Divya D. Kulkarni, Shivashankar B. Nair |
| 2023 | Utilizing the Expected Gradient in Surrogate-assisted Evolutionary Algorithms. | Kei Nishihara, Masaya Nakata |
| 2023 | Analysis of (1+1) EA on LeadingOnes with Constraints. | Tobias Friedrich, Timo Ktzing, Aneta Neumann, Frank Neumann, Aishwarya Radhakrishnan |
| 2023 | Neuroevolutionary algorithms driven by neuron coverage metrics for semi-supervised classification. | Roberto Santana, Ivan Hidalgo-Cenalmor, Unai Garciarena, Alexander Mendiburu, Jos Antonio Lozano |
| 2023 | Evolutionary Computation and Evolutionary Deep Learning for Image Analysis, Signal Processing and Pattern Recognition. | Mengjie Zhang, Stefano Cagnoni |
| 2023 | Improving Time and Memory Efficiency of Genetic Algorithms by Storing Populations as Minimum Spanning Trees of Patches. | Maxim Buzdalov |
| 2022 | Evaluation of genetic improvement tools for improvement of non-functional properties of software. | Shengjie Zuo, Aymeric Blot, Justyna Petke |
| 2022 | A chaotic parallel antlion optimization algorithm for feature selection. | Xun Zhou, Hongwei Chen, Dewei Shi |
| 2022 | Adversarial example generation via genetic algorithm: a preliminary result. | Shasha Zhou, Ke Li, Geyong Min |
| 2022 | Py2Cy: a genetic improvement tool to speed up python. | James Zhong, Max Hort, Federica Sarro |
| 2022 | Localized distance and time-based differential evolution for multimodal optimization problems. | Hong Zhao, Jiarui Li, Jing Liu |
| 2022 | Learning to balance exploration and exploitation in pareto local search for multi-objective combinatorial optimization. | Haotian Zhang, Jialong Shi, Jianyong Sun, Zongben Xu |
| 2022 | Leveraging fuzzy system to reduce uncertainty of decision making in software engineering automation. | Yueke Zhang, Yu Huang |
| 2022 | Regulatory genotype-to-phenotype mappings improve evolvability in genetic programming. | Jinting Zhang, Ting Hu |