| 993 | -- | 994 | Pietro S. Oliveto, Anne Auger, Francisco Chicano, Carlos M. Fonseca. Guest Editorial Special Issue on Theoretical Foundations of Evolutionary Computation |
| 995 | -- | 1009 | Johannes Lengler. A General Dichotomy of Evolutionary Algorithms on Monotone Functions |
| 1010 | -- | 1024 | Per Kristian Lehre, Dirk Sudholt. Parallel Black-Box Complexity With Tail Bounds |
| 1025 | -- | 1034 | Benjamin Doerr, Martin S. Krejca. Significance-Based Estimation-of-Distribution Algorithms |
| 1035 | -- | 1049 | Kento Uchida, Shinichi Shirakawa, Youhei Akimoto. Finite-Sample Analysis of Information Geometric Optimization With Isotropic Gaussian Distribution on Convex Quadratic Functions |
| 1050 | -- | 1062 | Jaroslaw Arabas, Karol R. Opara. Population Diversity of Nonelitist Evolutionary Algorithms in the Exploration Phase |
| 1063 | -- | 1077 | Arnaud Liefooghe, Fabio Daolio, Sébastien Vérel, Bilel Derbel, Hernán E. Aguirre, Kiyoshi Tanaka. Landscape-Aware Performance Prediction for Evolutionary Multiobjective Optimization |
| 1078 | -- | 1096 | Ke Li 0001, Minhui Liao, Kalyanmoy Deb, Geyong Min, Xin Yao 0001. Does Preference Always Help? A Holistic Study on Preference-Based Evolutionary Multiobjective Optimization Using Reference Points |
| 1097 | -- | 1111 | Michal Witold Przewozniczek, Marcin Michal Komarnicki. Empirical Linkage Learning |
| 1112 | -- | 1124 | Haiyan Liu, Yuping Wang 0003, Ninglei Fan. A Hybrid Deep Grouping Algorithm for Large Scale Global Optimization |
| 1125 | -- | 1139 | Hao Hao, Jinyuan Zhang, Xiaofen Lu, Aimin Zhou. Binary Relation Learning and Classifying for Preselection in Evolutionary Algorithms |
| 1140 | -- | 1149 | Benjamin Doerr, Weijie Zheng 0001. Sharp Bounds for Genetic Drift in Estimation of Distribution Algorithms |
| 1150 | -- | 1163 | Pei-Qiu Huang, Yong Wang 0002. A Framework for Scalable Bilevel Optimization: Identifying and Utilizing the Interactions Between Upper-Level and Lower-Level Variables |
| 1164 | -- | 1176 | Caitlin A. Owen, Grant Dick, Peter A. Whigham. Characterizing Genetic Programming Error Through Extended Bias and Variance Decomposition |