| 2026 | A Clustering Aided Multi-Operator Differential Evolution via Cluster-Level Adaptation. | Qi Lei, Zhihao Mao, Bangpu Chen, Zhuoming Yuan, Lei Peng |
| 2026 | Theory of Competitive Co-evolutionary Algorithms. | Per Kristian Lehre |
| 2026 | Evolutionary Computation for Tax-Minimizing Strategies in Special Economic Zones. | Andres Leguizamon, Carlos David Sanchez, Sofia Ocampo, Una-May O'Reilly, Erik Hemberg |
| 2026 | Feedback-Driven Data Augmentation via Genetic Algorithm: A Preliminary Study on Image Classification. | Jaehyeong Lee, Yourim Yoon |
| 2026 | Bio-inspired Feature Selection for Synthetic Datasets in Multimodal Learning. | Deive Audieres Leal, Rafael Marin Machado de Souza, Leandro Nunes de Castro |
| 2026 | A Quantum-Inspired Evolutionary Algorithm for Multi-manned Battery Disassembly Line Balancing. | Lina Laouzai, Taha Arbaoui |
| 2026 | On the Implementation of Tournament Selection in XCS. | Pier Luca Lanzi |
| 2026 | Benchmarking Metaheuristics for Mixed-Integer Optimization. | Thomas Lang, Denis Pallez |
| 2026 | Comparing to the Optimal Pareto Front: An Evaluation of Multiobjective Evolutionary Algorithms for Boolean Functions. | Surendra Kurivella, Francisco Chicano, Darrell Whitley, Gabriela Ochoa, Bilel Derbel |
| 2026 | Digital Red Queen: Adversarial Program Evolution in Core War with LLMs. | Akarsh Kumar, Ryan Bahlous-Boldi, Prafull Sharma, Phillip Isola, Sebastian Risi, Yujin Tang, David Ha |
| 2026 | Structural Bias in Multi-objective Optimization. | Jakub Kudela, Niki van Stein, Thomas Bck, Anna Kononova |
| 2026 | Integrating Digital Twins into Evolutionary Optimization of Factory Layouts. | Jir Kubalk, Antonn Miller, Petr Kadera |
| 2026 | Asynchronous Neuro-Evolutionary Symbolic Regression with Maturity-Based Replacement. | Jir Kubalk, Nada Fucelov, Robert Babuska |
| 2026 | An Improved JADE Algorithm with Mid-to-Best Mutation and BLX-α-β Crossover. | Wojciech Ksiazek |
| 2026 | Self-Evolving Graph Neural Network Design Inspired by Neural Cellular Automata. | Maciej Krzywda, Mariusz Werminski, Szymon Lukasik, Amir Hossein Gandomi |
| 2026 | Surrogate-Assisted Linear Genetic Programming for Evolving Graph Neural Networks for Node Classification. | Maciej Krzywda, Szymon Lukasik, Amir Hossein Gandomi |
| 2026 | SA-DCGP: Surrogate-Assisted Cartesian Genetic Programming with Dynamic Operator Scheduling for Contrastive Graph Clustering. | Maciej Krzywda, Szymon Lukasik, Amir Hossein Gandomi |
| 2026 | A Probabilistic L-System Inspired Designer for Neural Architecture Search: A Graph Neural Network Case Study on Node Classification. | Maciej Krzywda, Szymon Lukasik, Amir Hossein Gandomi |
| 2026 | Uniformity and Bias of Derangement Representations for Continuous Metaheuristics. | Pavel Krmer, Vojtech Uher |
| 2026 | Improving performance of genetic algorithm for multi-criteria optimization. | Stanislaw Kozdrowski, Wojciech Makos, Zbigniew Kopertowski, Slawomir Sujecki |
| 2026 | Anytime Analysis on BinVal: Adaptive Parameters Help. | Timo Ktzing, Jurek Sander |
| 2026 | Distributional Value Estimation Without Target Networks for Robust Quality-Diversity. | Behrad Koohy, Jamie Bayne |
| 2026 | Revisiting the Potential of Polyploidy in Stationary Optimization: An Exploration Across Diverse Problem Domains. | Maciej Komosinski, Konrad Miazga, Dawid Siera |
| 2026 | LLM-Guided Discovery of Complementary Metaheuristic Operators with Adaptive Composition on the GNBG Benchmark. | Pawel Kolendo, Michal Pluhacek |
| 2026 | On the Sufficiency of SAT Features for Genetic Algorithm Parameter Selection. | Pawel Kolendo, Wojciech Chmiel, Michal Pluhacek |