| 2023 | EVOAL: A Domain-Specific Language-Based Approach to Optimisation. | Bernhard J. Berger, Christina Plump, Rolf Drechsler |
| 2023 | Robust Density-Based Data Clustering Using a Quantum-Inspired Genetic Algorithm. | Amit Banerjee |
| 2023 | Incremental Search-Based Allocation of Autonomous Robots for Goods Delivery. | Paolo Arcaini, Ezequiel Castellano, Fuyuki Ishikawa, Hirokazu Kawamoto, Kaoru Sawai, Eiichi Muramoto |
| 2023 | Portfolio Re-Balancing and Optimization Using Directional Changes and Genetic Algorithms. | Rui Jorge Almeida, Nalan Bastrk, Paulo Rodrigues |
| 2023 | Gaussian Adaptation with Decaying Matrix Adaptation Weights. | Oladayo S. Ajani, Dzeuban Fenyom Ivan, Rammohan Mallipeddi |
| 2023 | A Competent Memetic Algorithm for Error Mitigation in Quantum Measurement. | Giovanni Acampora, Autilia Vitiello |
| 2023 | On the Effect of Quantum Noise in Quantum Genetic Algorithms. | Giovanni Acampora, Roberto Schiattarella |
| 2023 | A Comparison of Evolutionary Algorithms for Training Variational Quantum Classifiers. | Giovanni Acampora, Angela Chiatto, Autilia Vitiello |
| 2023 | Application of Quantum Genetic Algorithms to Network Signal Setting Design. | Giovanni Acampora, Angela Chiatto, Stefano de Luca, Roberta Di Pace, Alfredo Massa, Roberto Schiattarella, Autilia Vitiello |
| 2023 | Genetic Algorithms for Constructing Effective Nuclear Shell-Model Hamiltonians. | Giovanni Acampora, Angela Chiatto, Luigi Coraggio, Giovanni De Gregorio, Roberto Schiattarella, Autilia Vitiello |
| 2023 | 3-sCHSL: Three-Stage Cyclic Hybrid SFS and L-SHADE Algorithm for Single Objective Optimization. | Heba Abdel-Nabi, Mostafa Z. Ali, Arafat Awajan, Rami Alazrai, Mohammad I. Daoud, Ponnuthurai N. Suganthan, Robert G. Reynolds |
| 2022 | Rule Induction Using Set-Based Particle Swarm Optimisation. | Jean-Pierre van Zyl, Andries P. Engelbrecht |
| 2022 | Reducing the Number of Training Cases in Genetic Programming. | Giacomo Zoppi, Leonardo Vanneschi, Mario Giacobini |
| 2022 | Restructuring Particle Swarm Optimization algorithm based on linear system theory. | Jian Zhu, Jianhua Liu, Zihang Wang, Yuxiang Chen |
| 2022 | Learning Strategies on Scheduling Heuristics of Genetic Programming in Dynamic Flexible Job Shop Scheduling. | Fangfang Zhang, Yi Mei, Su Nguyen, Mengjie Zhang |
| 2022 | Large-scale crude oil scheduling: A framework of hybrid optimization based on plan decomposition. | Wanting Zhang, Wei Du, Guo Yu, Renchu He, Wenli Du |
| 2022 | An extended memetic algorithm for multiobjective routing and scheduling of airport ground movements with intermediate holding. | Tianci Zhang, Lilla Beke, Songwei Liu, Michal Weiszer, Jun Chen |
| 2022 | Nantong Blue Calico Image Dataset and Its Recognition. | Xiang Yu, Li Zhang, Mei Shen |
| 2022 | A Genetic Programming-Based Hyper-Heuristic Approach for Multi-Objective Dynamic Workflow Scheduling in Cloud Environment. | Yongbo Yu, Tao Shi, Hui Ma, Gang Chen |
| 2022 | XCSR with VAE using Gaussian Distribution Matching: From Point to Area Matching in Latent Space for Less-overlapped Rule Generation in Observation Space. | Naoya Yatsu, Hiroki Shiraishi, Hiroyuki Sato, Keiki Takadama |
| 2022 | Methods to Detect and Address Stall in Particle Swarm Optimization. | Naeeme YadollahPour, Stephen Chen |
| 2022 | A multifactorial differential evolution with hybrid global and local search strategies. | Mingyu Xu, Yongjin Zheng, Yew-Soon Ong, Zexuan Zhu, Xiaoliang Ma |
| 2022 | Genetic Programming with Multi-case Fitness for Dynamic Flexible Job Shop Scheduling. | Meng Xu, Fangfang Zhang, Yi Mei, Mengjie Zhang |
| 2022 | Genetic Programming with Cluster Selection for Dynamic Flexible Job Shop Scheduling. | Meng Xu, Yi Mei, Fangfang Zhang, Mengjie Zhang |
| 2022 | Learning to Search Promising Regions by a Monte-Carlo Tree Model. | Hai Xia, Changhe Li, Sanyou Zeng, Qingshan Tan, Junchen Wang, Shengxiang Yang |