- Debao Chen, Xiaopin Qiu, Feng Zou 0001, Fangzhen Ge, Yuhui Zheng, Zhenghua Xin. Hybrid resource allocation framework for large-scale multi-objective optimization. Swarm and Evolutionary Computation, 100:102272, 2026.
- Qingshan Tan, Changhe Li, Miqing Li, Shengxiang Yang. Generating continuous multi-objective benchmark problems by the object-oriented method. Swarm and Evolutionary Computation, 100:102242, 2026.
- Mingxiao Ma, YuTing Wang, Huan Li, Leilei Meng, Biao Zhang. A reinforcement learning-integrated discrete artificial bee colony algorithm for hybrid flow shop scheduling with batch processing and variable sublot sizes. Swarm and Evolutionary Computation, 100:102253, 2026.
- Yuyu Fan, Dongping Tian, Qinghao Xu, Jie Sun, Qiu Xu, Zhongzhi Shi. Particle swarm optimization based on K-means clustering and adaptive dual-groups strategy. Swarm and Evolutionary Computation, 100:102226, 2026.
- Libin Hong 0001, Dongxu Zhang, Tianxiang Cui. A variant of united multi-operator evolutionary algorithms with application to livestock feed ration optimization. Swarm and Evolutionary Computation, 100:102238, 2026.
- Xinxin Zhou, Xiangzhi Wu, Mingwei Wang, Youzhi Sun. RR-SMO: A novel optimization algorithm for enhancing route efficiency in outdoor sports equipment. Swarm and Evolutionary Computation, 100:102225, 2026.
- Yurong Guo, Keping Zhou. Evaluation-based multi-objective optimization for responsive-resilient supply chain network under hybrid uncertainty. Swarm and Evolutionary Computation, 101:102274, 2026.
- Anubhav Singh, Naveen Saini, Konstantinos Zervoudakis, Vikas Kumar Tiwari. PULSE: A Multi-stage Artificial Intelligence Framework for Analyzing Vaccine Hesitancy on Twitter using Particle Swarm Optimization and Large Language Models. Swarm and Evolutionary Computation, 100:102218, 2026.
- Michal K. Tomczyk, Milosz Kadzinski. Efficient preference learning algorithm for interactive evolutionary multi-objective optimization. Swarm and Evolutionary Computation, 100:102254, 2026.
- Chun-Chih Chiu, Chyh-Ming Lai, Yu-Shun Liao, Wei-Chang Yeh 0001. Integration of deep reinforcement learning with simulation optimization applied to semiconductor backend assembly scheduling problem. Swarm and Evolutionary Computation, 100:102252, 2026.