| 2024 | A Closer Look at Length-niching Selection and Spatial Crossover in Variable-length Evolutionary Rule Set Learning. | David Ptzel, Richard Nordsieck, Jrg Hhner |
| 2024 | Length-niching Selection and Spatial Crossover in Variable-length Evolutionary Rule Set Learning. | David Ptzel, Richard Nordsieck, Jrg Hhner |
| 2024 | Using 3-Objective Evolutionary Algorithms for the Dynamic Chance Constrained Knapsack Problem. | Ishara Hewa Pathiranage, Frank Neumann, Denis Antipov, Aneta Neumann |
| 2024 | Effective 2- and 3-Objective MOEA/D Approaches for the Chance Constrained Knapsack Problem. | Ishara Hewa Pathiranage, Frank Neumann, Denis Antipov, Aneta Neumann |
| 2024 | Looking for Complexity at Phase Boundaries in Continuous Cellular Automata. | Vassilis Papadopoulos, Guilhem Doat, Arthur Renard, Clment Hongler |
| 2024 | Transfer Learning of Surrogate Models via Domain Affine Transformation. | Shuaiqun Pan, Diederick Vermetten, Manuel Lpez-Ibez, Thomas Bck, Hao Wang |
| 2024 | Onboard Class Incremental Learning for Resource-Constrained scenarios using Genetic Algorithm and TinyML. | Suraj Kumar Pandey, Shivashankar B. Nair |
| 2024 | Genetic Algorithm with Modified Reproduction Operators for Grammatical Inference. | Hari Mohan Pandey |
| 2024 | Using Large Language Models for Evolutionary Search. | Una-May O'Reilly, Erik Hemberg |
| 2024 | Coevolution in Natural and Artificial Systems. | Una-May O'Reilly |
| 2024 | A Tight | Andre Opris, Johannes Lengler, Dirk Sudholt |
| 2024 | Hot of the Press: Crossover Can Guarantee Exponential Speed-Ups in Evolutionary Multi-Objective Optimisation. | Andre Opris, Duc-Cuong Dang, Dirk Sudholt |
| 2024 | Runtime Analyses of NSGA-III on Many-Objective Problems. | Andre Opris, Duc-Cuong Dang, Frank Neumann, Dirk Sudholt |
| 2024 | Cost and Performance Comparison of Holistic Solution Approaches for Complex Supply Chains on a Novel Linked Problem Benchmark. | Akinola Ogunsemi, John A. W. McCall, Alexandru-Ciprian Zavoianu, Lee A. Christie |
| 2024 | Landscape Analysis of Optimisation Problems and Algorithms. | Gabriela Ochoa, Katherine M. Malan |
| 2024 | A Matheuristic Algorithm to Optimise Multi-Objective Production Scheduling in a Manufacturing Plant with Fluctuating Raw Material Supplies. | Abtin Nourmohammadzadeh, Stefan Vo |
| 2024 | Solving QUBO with MOPSO and Decomposition. | Kojiro Noborio, Noriyuki Fujimoto |
| 2024 | Multi-Objective Evolution for Chemical Product Design. | Geoff Nitschke, Bilal Aslan, Flvio S. Corra da Silva |
| 2024 | Morpho-Material Evolution for Automated Robot Design. | Geoff Nitschke, Bilal Aslan |
| 2024 | Growing Artificial Neural Networks for Control: the Role of Neuronal Diversity. | Eleni Nisioti, Erwan Plantec, Milton Montero, Joachim Winther Pedersen, Sebastian Risi |
| 2024 | Effective Adaptive Mutation Rates for Program Synthesis. | Andrew Ni, Lee Spector |
| 2024 | Comparing Solvability Patterns of Algorithms across Diverse Problem Landscapes. | Ana Nikolikj, Tome Eftimov |
| 2024 | Quality Diversity Approaches for Time-Use Optimisation to Improve Health Outcomes. | Adel Nikfarjam, Ty Stanford, Aneta Neumann, Dorothea Dumuid, Frank Neumann |
| 2024 | Redefining the Behavior Space for Multi-Objective MAP-Elites. | Anna Nickelson, Kagan Tumer |
| 2024 | Genetic-based Constraint Programming for Resource Constrained Job Scheduling. | Su Nguyen, Dhananjay R. Thiruvady, Yuan Sun, Mengjie Zhang |