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ORCIDSwarm and Evolutionary Computation, Volume 94
Volume 94, 2025
- Chen Wang
, Cheng Zhu, Xianqiang Zhu, Hongtao Lei, Weiming Zhang, Meng Wu:
DANCE: Distributed co-evolutionary design of velocity controllers for swarm intelligence robots in flocking and entrapping tasks. 101854 - Luona Wei, Yongqiang Cui, Ming Chen, Qian Wan, Lining Xing:
Multi-objective neural policy approach for agile earth satellite scheduling problem considering image quality. 101857 - Fang Wan, Kezhi Wang, Tao Wang, Hu Qin, Julien Fondrevelle, Antoine Duclos:
Enhancing healthcare resource allocation through large language models. 101859 - Deepanshu Yadav, Palaniappan Ramu, Kalyanmoy Deb:
Handling objective preference and variable uncertainty in evolutionary multi-objective optimization. 101860 - Xin Fan, Hongyan Sang, Mengxi Tian, Yang Yu, Song Chen:
Integrated scheduling problem of multi-load AGVs and parallel machines considering the recovery process. 101861 - Fulong Wu, Yu Sun:
A dual-population co-evolution algorithm with balanced environmental selection for constrained multimodal multiobjective optimization problems. 101862 - Haiyan Liu, Wenlong Song, Yi Cheng, Shouheng Tuo, Yu-Ping Wang:
A large-scale optimization algorithm based on variable decomposition and space compression. 101863 - Fajun Yang, Chao Li, Feng Wang, Zhi Yang, Kaizhou Gao:
Scheduling two-stage healthcare appointment systems via a knowledge-based biased random-key genetic algorithm. 101864 - Haotian Zhang, Xiaohong Guan, Yixin Wang, Nan Nan:
Multi-objective optimization-assisted single-objective differential evolution by reinforcement learning. 101866 - Wei Yao, Xin Shen, Guo Zhang, Zezhong Lu, Jiaying Wang, Yanjie Song, Zhiwei Li:
A spiking neural network based proximal policy optimization method for multi-point imaging mission scheduling of earth observation satellite. 101867 - Xingjuan Cai, Jinli Li, Jinlong Ma, Zhixia Zhang, Qingyuan Xu, Wensheng Zhang, Jinjun Chen:
Interval many-objective evolutionary algorithm guided by dynamic dual-sequence mechanism. 101870 - Honggui Han, Ziang Xu, Jingjing Wang:
Reinforcement learning-assisted particle swarm algorithm for effluent scheduling problem with an influent estimation of WWTP. 101871 - Xiao-li Lu, Guang He:
Enhanced QPSO driven by swarm cooperative evolution and its applications in portfolio optimization. 101872 - Cuiyu Wang, Mengxi Wei, Qihao Liu, Xinjian Zhang, Xinyu Li:
An improved adaptive hybrid algorithm for solving distributed flexible job shop scheduling problem. 101873 - Yangchen Lu, Xiaobing Yu, Zhengpeng Hu, Xuming Wang:
Convolutional neural network combined with reinforcement learning-based dual-mode grey wolf optimizer to identify crop diseases and pests. 101874 - Hao Cong, Xiao-Min Hu, Wei-Neng Chen, Wen Shi, Jun Zhang:
Evolutionary algorithm based on multi-probability distribution model for stochastic optimization. 101839 - Mohamed Radwan, Saber M. Elsayed, Ruhul A. Sarker, Daryl Essam, Carlos A. Coello Coello:
Neuro-PSO algorithm for large-scale dynamic optimization. 101865 - Mehdi Alimohammadi, Mohammad-R. Akbarzadeh-T.:
State-space adaptive exploration for explainable particle swarm optimization. 101868 - Tuo Zhang, Ying Bi, Jing Liang, Bing Xue, Mengjie Zhang:
Multi-objective genetic programming based on decomposition for feature learning in image classification. 101875 - Yaru Hu, Yana Li, Junwei Ou, Jiankang Peng, Jun Li, Jinhua Zheng:
Dynamic multi-objective evolutionary algorithm based on dual-layer collaborative prediction under multiple perspective. 101876 - Lei Jin, Jie Yuan, Dequn Zhou, Xiuzhi Sang, Shi Chen, Xianyu Yu, Guohui Lin:
Energy-efficient task scheduling with binary random faults in cloud computing environments. 101877 - Inam Ullah, Sushil Kumar Singh, Deepak Adhikari, Habib Khan, Weiwei Jiang, Xiaoshan Bai:
Multi-Agent Reinforcement Learning for task allocation in the Internet of Vehicles: Exploring benefits and paving the future. 101878 - Laiqi Yu, Zhenyu Meng, Lingping Kong, Václav Snásel, Jeng-Shyang Pan:
Surrogate-assisted differential evolution: A survey. 101879 - Zhening Liu, Handing Wang, Jinliang Ding, Cuie Yang, Yaochu Jin:
Data Stream driven evolutionary algorithm for cost sensitive robust optimization over time. 101880 - Zhenxing Yu, Qinwei Fan, Jacek M. Zurada, Jigen Peng, Haiyang Li, Jian Wang:
Solving sparse multi-objective optimization problems via dynamic adaptive grouping and reward-penalty sparse strategies. 101881 - Yamin Wang, Shuai Ma, Yuan Li, Hongyu Qian, Qianfan Jia, Shanpeng Xiao, Yuhong Huang:
Constrained multi-objective particle swarm optimization for bistatic RFID network planning with distributed antennas. 101882 - Youpeng Deng, Yan Zheng, Zhaopeng Meng, Haobo Gao, Yueyang Hua, Qiangguo Jin, Leilei Cao:
Gaussian process regression for evolutionary dynamic multiobjective optimization in complex environments. 101883 - Xuwei Zhang, Ziyan Zhao, Shujin Qin, Shixin Liu, Mengchu Zhou:
Dynamic quadratic decomposition-based evolutionary algorithm for multi-objective fuzzy flexible jobshop scheduling. 101884 - Xinxin Zhou, Fuyu Wang, Bin Wu, Yan Li, Nannan Shen:
Deep reinforcement learning-based memetic algorithm for solving dynamic distributed green flexible job shop scheduling problem with finite transportation resources. 101885 - Weidong Lei, Ziheng You, Jiawei Zhu, Pengyu Yan, Zhen Zhou, Jikun Chen:
Novel MINLP model and Lamarckian learning-enhanced multi-objective optimization algorithm for smart household appliance scheduling. 101886 - Panagiotis Karakostas, Angelo Sifaleras:
Learning-assisted improvements in Adaptive Variable Neighborhood Search. 101887 - Tao Ma, Hong Zhao, Xiangqian Li, Fang Yang, Chunsheng Liu, Jing Liu:
Reinforcement learning assisted differential evolution with adaptive resource allocation strategy for multimodal optimization problems. 101888 - Khalid A. Darabkh, Muna Al-Akhras:
Smart cities optimization using computational intelligence in power-constrained IoT sensor networks. 101889 - Liangying Wang, Lihuan Hong, Haoxuan Fu, Zhiling Cai, Yiwen Zhong, Lijin Wang:
Adaptive distance-based multi-objective particle swarm optimization algorithm with simple position update. 101890 - Xuefen Chen, Chunming Ye, Yang Zhang:
Strengthened grey wolf optimization algorithms for numerical optimization tasks and AutoML. 101891 - Pengguo Yan, Ye Tian, Yu Liu:
An indicator-based multi-objective evolutionary algorithm assisted by improved graph convolutional networks. 101892 - Ruiyang Lin, Zesong Xu, Liyang Yu, Tongquan Wei:
EABC-AS: Elite-driven artificial bee colony algorithm with adaptive population scaling. 101893 - Gjorgjina Cenikj, Gasper Petelin, Moritz Seiler, Nikola Cenikj, Tome Eftimov:
Landscape features in single-objective continuous optimization: Have we hit a wall in algorithm selection generalization? 101894 - Ana Nikolikj, Mario Andrés Muñoz, Tome Eftimov:
Benchmarking footprints of continuous black-box optimization algorithms: Explainable insights into algorithm success and failure. 101895 - Yelleti Vivek, Vadlamani Ravi, P. Radha Krishna:
Online feature subset selection for mining feature streams in big data via incremental learning and evolutionary computation. 101896 - Wenxiang Xu, Shimin Xu, Junyong Liang, Tao Qin, Dezheng Liu, Lei Wang:
A discrete water source cycle algorithm design for solving production scheduling problem in flexible manufacturing systems. 101897 - Wei Cui, Yanxiang Feng, Ye Cao, Xiaoling Li, Yikang Yang:
A heuristic distributed and no-wait method for solving multiagent task allocation problems with coupled temporal constraints. 101898 - Xuezhi Yue, Yihang Liao, Hu Peng, Lanlan Kang, Yuan Zeng:
A high-dimensional feature selection algorithm via fast dimensionality reduction and multi-objective differential evolution. 101899 - Yingbo Zhou, Zheng-Yi Chai, Ya-Lun Li, Jun-Jie Li:
Parking Vehicle-Assisted Task Offloading in Edge Computing: A dynamic multi-objective evolutionary algorithm with multi-strategy fusion response. 101900 - Yuting Wu, Ling Wang, Rui Li, Yuxiang Xu, Jie Zheng:
A learning-based dual-population optimization algorithm for hybrid seru system scheduling with assembly. 101901 - Minghai Yuan, Songwei Lu, Liang Zheng, Qi Yu, Fengque Pei, Wenbin Gu:
Distributed heterogeneous flexible job-shop scheduling problem considering automated guided vehicle transportation via improved deep Q network. 101902 - Jianxia Li, Ruochen Liu, Xilong Zhang, Ruinan Wang:
Constrained multi-objective evolutionary algorithm based on the correlation between objectives and constraints. 101903 - Long Guo, Ying Zhang, Qi Qin, Guanjun Liu, Hanyu Chen, Yan-an Yao:
Hierarchical multi-objective optimization for precise performance design of closed-chain legged mechanisms. 101904 - Hao Hao, Xiaoqun Zhang, Aimin Zhou:
Un-evaluated solutions may be valuable in expensive optimization. 101905 - Linshan Ding, Dan Luo, Mudassar Rauf, Lei Yue, Leilei Meng:
A novel deep self-learning method for flexible job-shop scheduling problems with multiplicity: Deep reinforcement learning assisted the fluid master-apprentice evolutionary algorithm. 101907 - Xiaoyu Wen, Xinyu Zhang, Hao Li, Shuo Ji, Haoqi Wang, Guoyong Ye, Hongwen Xing, Siren Liu:
An improved NSGA-II algorithm based on reinforcement learning for aircraft moving assembly line integration optimization problem. 101911
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