| 2024 | Improving Inference of Biochemical Composition in Marine Biomass via Genetic Algorithm-Based Feature Selection on Raman Spectroscopic Data. | Kaan Demir, Bach Hoai Nguyen, Jeremy S. Rooney, Bing Xue, Mengjie Zhang, Kirill Lagutin, Andrew MacKenzie, Keith C. Gordon, Daniel P. Killeen |
| 2024 | Adaptive NEH with constrained Nearest Neighbor Subtours for the Electric Vehicle Routing Problem with Time Windows. | Donald Davendra, Andrew Struthers |
| 2024 | A Novel Surrogate Model for Variable-Length Encoding and its Application in Optimising Deep Learning Architecture. | Truong Dang, Tien Thanh Nguyen, John McCall, Kate Han, Alan Wee-Chung Liew |
| 2024 | Capitalizing on the Opponent's Uncertainty in Reconnaissance Blind Chess. | Jacek Czupyt, Mikolaj Malkinski, Jacek Mandziuk |
| 2024 | Multi-Objective Optimisation strategy for On-Orbit Fault-Tolerant Decision Making. | Robert Cowlishaw, Ashwin Arulselvan, Annalisa Riccardi |
| 2024 | Introducing the RSNA-VR and the RSNA-DE Algorithms for Diagnosing Alzheimer's Disease. | Antonio Della Cioppa, Angelo Marcelli, Antonio Iannaccone |
| 2024 | Hybrid Quantum Annealing with Innovative Trend Ratio Model for Portfolio Optimization. | Yao-Hsin Chou, Ching-Hsuan Wu, Pei-Shin Huang, Shu-Yu Kuo, Yu-Chi Jiang, Sy-Yen Kuo, Ching-Ray Chang |
| 2024 | A Quantum-Inspired Multi-objective Portfolio Strategy Based on Trend Ratio Model in Global Financial Network. | Yao-Hsin Chou, Yun-Ting Lai, Yong Feng Tong, Alvin Young, Ming-Ho Chang, Kun-Min Wu, Yu-Chi Jiang, Shu-Yu Kuo |
| 2024 | A Novel Symbolic Regressor Enhancer Using Genetic Programming. | Tu-Chin Chiang, Chi-Hsien Chang, Tian-Li Yu |
| 2024 | A Hierarchical Cooperative Genetic Programming for Complex Piecewise Symbolic Regression. | Xinan Chen, Wenjie Yi, Ruibin Bai, Rong Qu, Yaochu Jin |
| 2024 | The Multi-Objective Vehicle Routing Problems with Parcel Lockers for Simultaneous Pick-Up and Delivery. | Weimin Chen, Yuxin Liu, Jin Liu |
| 2024 | Generate a Single Heuristic for Multiple Dynamic Flexible Job Shop Scheduling Tasks by Genetic Programming. | Jiayin Chen, Ya-Hui Jia, Ying Bi, Wei-Neng Chen |
| 2024 | NMT vs MLM: Which is the Best Paradigm for APR? | Yiheng Chen, Kai Huang, He Wang, Yuqing Zhang |
| 2024 | Amorphous Fortress: Exploring Emergent Behavior and Complexity in Multi-Agent 0-Player Games. | M Charity, Sam Earle, Dipika Rajesh, Mayu Wilson, Julian Togelius |
| 2024 | Revisiting the Formation of Harmonic Progressions from the Perspective of Voice-Leading with Evolutionary Computation. | Chun-Yien Chang, Ying-ping Chen |
| 2024 | Evaluation Framework for AI -driven Molecular Design of Multi-target Drugs: Brain Diseases as a Case Study. | Arthur Cerveira, Frederico Kremer, Darling Loureno, Ulisses Brisolara Corra |
| 2024 | Impact of Scaling in ELA Feature Calculation on Algorithm Selection Cross-Benchmark Transferability. | Gjorgjina Cenikj, Gasper Petelin, Tome Eftimov |
| 2024 | A Survey of Applications of Multi-Objective Evolutionary Algorithms in Biotechnology. | Carlos Felipe Coello Castillo, Carlos A. Coello Coello |
| 2024 | IDEL: An Improved Differential Evolution with Lissajous Mutation. | ngel Casas-Ordaz, Arturo Valdivia, Eduardo H. Haro, Diego Oliva, Luis A. Beltran, Itzel Aranguren, Erick Rodrguez-Esparza, Diego Campos-Pea |
| 2024 | Multi-Agent Collaborative Search with Adaptive Heuristics and Weight Vectors for Aerospace Multi-objective Optimal Control Problems. | Li Cao, Maocai Wang, Ben Parsonage, Christie Alisa Maddock, Guangming Dai |
| 2024 | Clustering of Earth-Moon transfers in Sun-perturbed environment. | Claudio Toquinho Campana, Francesco Topputo |
| 2024 | A Nested Evolutionary Algorithm for Solving a Bilevel Competitive Location Problem: Optimistic vs. Pessimistic Approaches. | Jos-Fernando Camacho-Vallejo, Carlos Corpus |
| 2024 | Precise and Efficient Orbit Prediction in LEO with Machine Learning using Exogenous Variables. | Francisco M. Caldas, Cludia Soares |
| 2024 | Language Evolution for Evading Social Media Regulation via LLM-Based Multi-Agent Simulation. | Jinyu Cai, Jialong Li, Mingyue Zhang, Munan Li, Chen-Shu Wang, Kenji Tei |
| 2024 | Deep Reinforcement Learning for Solving the Vehicle Routing Problem in Practical Logistics. | Junchuang Cai, Xinzhi Zhang, Qiuzhen Lin, Lisha Dong, Weineng Chen, Zhong Ming |