| 2023 | Automated design of relocation rules for minimising energy consumption in the container relocation problem. | Marko Durasevic, Mateja Dumic, Rebeka Coric, Francisco Javier Gil Gala |
| 2023 | Calculating lexicase selection probabilities is NP-Hard. | Emily L. Dolson |
| 2023 | Benchmarking and analyzing iterative optimization heuristics with IOHprofiler. | Carola Doerr, Hao Wang, Diederick Vermetten, Thomas Bck, Jacob de Nobel, Furong Ye |
| 2023 | Hot off the Press: Runtime Analysis for the NSGA-II - Provable Speed-Ups From Crossover. | Benjamin Doerr, Zhongdi Qu |
| 2023 | Hot off the Press: From Understanding the Population Dynamics of the NSGA-II to the First Proven Lower Bounds. | Benjamin Doerr, Zhongdi Qu |
| 2023 | Hot off the Press: A First Runtime Analysis of the NSGA-II on a Multimodal Problem. | Benjamin Doerr, Zhongdi Qu |
| 2023 | Fourier Analysis Meets Runtime Analysis: Precise Runtimes on Plateaus. | Benjamin Doerr, Andrew James Kelley |
| 2023 | Tight Runtime Bounds for Static Unary Unbiased Evolutionary Algorithms on Linear Functions. | Carola Doerr, Duri Andrea Janett, Johannes Lengler |
| 2023 | How Well Does the Metropolis Algorithm Cope With Local Optima? | Benjamin Doerr, Taha El Ghazi El Houssaini, Amirhossein Rajabi, Carsten Witt |
| 2023 | How the Move Acceptance Hyper-Heuristic Copes With Local Optima: Drastic Differences Between Jumps and Cliffs. | Benjamin Doerr, Arthur Dremaux, Johannes F. Lutzeyer, Aurlien Stumpf |
| 2023 | A Gentle Introduction to Theory (for Non-Theoreticians). | Benjamin Doerr |
| 2023 | Multi-objective Multiplexer Decision Making Benchmark Problem. | Boris Djartov, Sanaz Mostaghim |
| 2023 | Learning Synergies for Multi-Objective Optimization in Asymmetric Multiagent Systems. | Gaurav Dixit, Kagan Tumer |
| 2023 | Quantum Entanglement inspired Differential Evolution algorithm. | Abhishek Dixit, A. Mani |
| 2023 | Evaluation of Algorithms from the Nevergrad Toolbox on the Strictly Box-Constrained SBOX-COST Benchmarking Suite. | Konstantin Dietrich, Pascal Kerschke |
| 2023 | Nearest better network for visualization of the fitness landscape. | Yiya Diao, Changhe Li, Sanyou Zeng, Shengxiang Yang |
| 2023 | Learning Behavior Trees by Evolution-Inspired Approaches. | Chuanshuai Deng, Chenjing Zhao, Zhenghui Liu, Jiexin Zhang, Yunlong Wu, Yanzhen Wang, Hong Cheng, Xiaodong Yi |
| 2023 | Co-operative Co-evolutionary Many-objective Embedded Multi-label Feature Selection with Decomposition-based PSO. | Kaan Demir, Bach Hoai Nguyen, Bing Xue, Mengjie Zhang |
| 2023 | Many-objective Optimization via Voting for Elites. | Jackson Dean, Nick Cheney |
| 2023 | Analysing the Robustness of NSGA-II under Noise. | Duc-Cuong Dang, Andre Opris, Bahare Salehi, Dirk Sudholt |
| 2023 | Adaptive Particle Swarm Optimization with Local Search for Multi-robot Multi-point Dynamic Aggregation. | Shihao Dai, Ya-Hui Jia, Wei-Neng Chen, Yi Mei |
| 2023 | Quality-Diversity Optimization. | Antoine Cully, Jean-Baptiste Mouret, Stphane Doncieux |
| 2023 | EvoPrunerPool: An Evolutionary Pruner using Pruner Pool for Compressing Convolutional Neural Networks. | C. Shunmuga Velayutham, Sujit Subramanian S, Arvindram K, Madhusoodhan Sathya, Nathiyaa Sengodan, Divesh Kosuri, Sai Satvik Arvapalli, Thangavelu S, Jeyakumar Gurusamy |
| 2023 | Bayesian Optimization. | Ivo Couckuyt, Sebastian Rojas-Gonzalez, Jrgen Branke, Bernd Bischl |
| 2023 | Tackling Adversarial Faults in Panmictic Evolutionary Algorithms. | Carlos Cotta |