| 2026 | QD-LLMs: Quality-Diversity Optimization with LLMs for Generative Design Exploration. | Ariq Koh, Melvin Wong, Jiao Liu, Caishun Chen, Thiago Rios, Stefan Menzel, Yew Soon Ong |
| 2026 | Introns and Templates Matter: Rethinking Linkage in GP-GOMEA. | Johannes Koch, Tanja Alderliesten, Peter A. N. Bosman |
| 2026 | A Generic Framework for Optimisation under Uncertainty with Recourse: Theory and Examples. | Joshua D. Knowles, Per Kristian Lehre, Shishen Lin, Frank Neumann, Janina Schreiber, Christine Zarges |
| 2026 | Benchmarking Stopping Criteria for Evolutionary Multi-objective Optimization. | Kenji Kitamura, Ryoji Tanabe |
| 2026 | On Representation Size in Genetic Algorithms: A Comparison via Graph Partitioning Problem-Quadratic Assignment Problem Reduction. | Jun-Sang Kim, Yong-Hyuk Kim |
| 2026 | Beyond a Single Plan: Genetic Algorithms for Flexible Maritime Search and Rescue. | TaeHun Kim, Hae-Sang Jeong, Choong-Ki Kim, Seung-Yeol Hong, Yong-Hyuk Kim |
| 2026 | MAC: Memetic Actor-Critic Framework for UAV Path Planning. | Jingeun Kim, Seung-Yeol Hong, Yong-Hyuk Kim, Yourim Yoon |
| 2026 | QDEvo: A Multi-Objective Quality-Diversity Framework for Automated Heuristic Design. | Nam Do Khanh, Nhat Nguyen Tran Minh, Dat Pham Vu Tuan, Long Doan, Huynh Thi Thanh Binh |
| 2026 | Rethinking Evolutionary Optimization: Paying Attention to Intermediate Transitional Solutions for Certain Problems. | Ahmer Khan, Kalyanmoy Deb |
| 2026 | Exploring the Parameterized Complexity of TSP Operators in Multi-Objective Optimization. | Narges Tavassoli Kejani, Julien Baste, Marie-Emilie Voge, Marie-Elonore Kessaci, Laetitia Jourdan |
| 2026 | Investigating Quantum Circuit Designs Using Neuro-Evolution. | Devroop Kar, Daniel E. Krutz, Travis Desell |
| 2026 | Analyzing Flexible Search Distributions in Black-Box Optimization with Normalizing Flow-based Estimation of Distribution Algorithms. | Sara Karami, Christian Gagn |
| 2026 | Proactive Dynamic Multi-Objective Optimisation via LSTM-Enhanced Evolutionary Algorithms. | Masayuki Kaneko |
| 2026 | Evolution of Fear and Social Rewards in Prey-Predator Relationship. | Yuji Kanagawa, Kenji Doya |
| 2026 | Benchmarking Evolutionary and Machine Learning Algorithms: The SIREN Challenge of Emergency Medical Services. | Torjus mellem Kallekleiv, Xavier F. C. Snchez-Daz, Ole Jakob Mengshoel |
| 2026 | Cartesian Genetic Programming - From foundations to recent developments and applications. | Roman Kalkreuth, Sylvain Cussat-Blanc, Dennis Wilson |
| 2026 | Bio-Inspired Multi-Objective Batch Active Learning for Skin Lesion Classification. | Nancy Kalaj, Matteo Bando, Simon Rokusek, Ludovico Cappellato, Erik Nielsen, Stefano Genetti, Giovanni Iacca |
| 2026 | EASE for LLM-Designed Evolutionary Algorithms: A GECCO 2026 Competition Entry. | Tomas Kadavy, Jozef Kovc, Adam Viktorin, Roman Senkerik |
| 2026 | Discrete Self-Adaptation in Competitive Coevolution for Constrained Hardware. | Steven Jorgensen, Jennifer Fairhurst, Erik Hemberg, Una-May O'Reilly |
| 2026 | Behavioral Investigation on Stagnation Handling in Composite Differential Evolution for Constrained Optimization Problems. | Aum Durgesh Jhala, Anupam Trivedi |
| 2026 | BiasQD-DT: Creating Interpretable Trade-Offs in Classifier Bias with Quality-Diversity Optimization via Decision Trees. | Catalina M. Jaramillo, M Charity, Julian Togelius |
| 2026 | A Late Acceptance Hill-Climbing Algorithm for Flexible Job Shop Scheduling Problems with Worker Flexibility. | Eduard Iorga, Ben Ertugrul, Alexandros Tzanetos |
| 2026 | EvoBatch: A Mini-Batch, Compute-Constrained Evolutionary Algorithm Reduces the Generalization Gap in Deep Learning. | Toki Tahmid Inan, Shahana Shultana, Amarda Shehu |
| 2026 | When Should Helper Functions Based on Fourier Transform be Terminated in Evolutionary Multi-Objective Optimization via Multi-objectivization? | Hiroto Imajo, Hitoshi Iba, Keiki Takadama |
| 2026 | Coding agents for automated metaheuristic design. | Jan Ilowski, Marcin Malek, Wojciech Achtelik, Maciej Smolka |