| 2024 | Harnessing Inferior Solutions For Superior Outcomes: Obtaining Robust Solutions From Quantum Algorithms. | Pascal Halffmann, Michael Trebing, Steve Lenk |
| 2024 | Searching for Benchmark Problem Instances from Data-Driven Optimisation. | Sara Hajari, Marcus Gallagher |
| 2024 | Dynamic Constrained Multiobjective Algorithm Based on Feasible Region Prediction. | Zhiye Guo, Jingxuan Wei, Binhao Liang, Fengqin Liang |
| 2024 | LVNS-RAVE: Diversified audio generation with RAVE and Latent Vector Novelty Search. | Jinyue Guo, Anna-Maria Christodoulou, Balint Laczko, Kyrre Glette |
| 2024 | Exploring the Search Space of Neural Network Combinations obtained with Efficient Model Stitching. | Arthur Guijt, Dirk Thierens, Tanja Alderliesten, Peter A. N. Bosman |
| 2024 | Evolutionary Diversity Optimisation for Sparse Directed Communication Networks. | Sharlotte Gounder, Frank Neumann, Aneta Neumann |
| 2024 | Emergence of Strategies for Univariate Estimation-of-Distribution Algorithms with Evolved Neural Networks. | Olivier Goudet, Adrien Goffon, Frdric Saubion, Sbastien Vrel |
| 2024 | Influence Based Fitness Shaping for Coevolutionary Agents. | Everardo Gonzalez, Siddarth Viswanathan, Kagan Tumer |
| 2024 | Performance of NSGA-III on Multi-objective Combinatorial Optimization Problems Heavily Depends on Its Implementations. | Cheng Gong, Yang Nan, Lie Meng Pang, Hisao Ishibuchi, Qingfu Zhang |
| 2024 | Heuristic Initialization and Knowledge-based Mutation for Large-Scale Multi-Objective 0-1 Knapsack Problems. | Cheng Gong, Yang Nan, Lie Meng Pang, Hisao Ishibuchi, Qingfu Zhang |
| 2024 | Improving the Performance of EA-based Multi-population Models for Feature Selection Problems by Reducing the Individual Size in the Initial Population. | Juan Carlos Gmez-Lpez, Daniel Castillo-Secilla, Jess Gonzlez |
| 2024 | Improving Efficiency of Evolving Robot Designs via Self-Adaptive Learning Cycles and an Asynchronous Architecture. | Leni K. Le Goff, Emma Hart |
| 2024 | Many-Objective Evolutionary Optimization using Density Peaks Scoring Selection Strategy. | Siamak Ghodsi, Sahar Tahmasebi, Mahdi Jalili, Parham Moradi |
| 2024 | User-Preference Based Evolutionary Algorithms for Solving Multi-Objective Nonlinear Minimum Cost Flow Problems. | Behrooz Ghasemishabankareh, Xiaodong Li, Melih Ozlen |
| 2024 | Shadow Gene Guidance: A Novel Approach for Elevating Genetic Programming Classifications and Boosting Predictive Confidence. | Hassan Gharoun, Mohammad Sadegh Khorshidi, Navid Yazdanjue, Fang Chen, Amir H. Gandomi |
| 2024 | Federated Genetic Algorithm: Two-Layer Privacy-Preserving Trajectory Data Publishing. | Yong-Feng Ge, Hua Wang, Jinli Cao, Yanchun Zhang, Georgios Kambourakis |
| 2024 | Dynamic Neural Architecture Search for Image Classification. | Mia Gerber, Nelishia Pillay |
| 2024 | A Meta-Evolutionary Algorithm for Co-evolving Genotypes and Genotype / Phenotype Maps. | Nathan Gaylinn, Joshua Clifford Bongard |
| 2024 | Accelerating Co-Evolutionary Learning Through Phylogeny-Informed Interaction Estimation. | Jack Garbus, Thomas Willkens, Alexander Lalejini, Jordan Pollack |
| 2024 | Dynamic Quality-Diversity Search. | Roberto Gallotta, Antonios Liapis, Georgios N. Yannakakis |
| 2024 | Towards an Improved Understanding of Features for More Interpretable Landscape Analysis. | Marcus Gallagher, Mario A. Muoz |
| 2024 | Generative Design through Quality-Diversity Data Synthesis and Language Models. | Adam Gaier, James Stoddart, Lorenzo Villaggi, Shyam Sudhakaran |
| 2024 | Particle Swarm Optimization with Unfeasible Personal Best for Constrained Problems. | So Fukuhara, Masao Arakawa |
| 2024 | Dynamic Evaluation Functions Based Routing and Wavelength Assignment Optimization for Optical Network Capacity Expansion. | Yu Fu |
| 2024 | Explaining Automatically Designed Software Defined Perimeters with a Two Phase Evolutionary Computation System. | James Gunder Frazier, Thomas Helmuth |