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ORCIDSwarm and Evolutionary Computation, Volume 87
Volume 87, 2024
- Sheng Xin Zhang
, Yu Hong Liu, Li Ming Zheng, Shao Yong Zheng:
Differential evolution with collective ensemble learning. 101521 - Zhen Zhang, Huifeng Zhang, Yazhang Tian, Chongwei Li, Dong Yue:
Cooperative constrained multi-objective dual-population evolutionary algorithm for optimal dispatching of wind-power integrated power system. 101525 - Cuixia Li, Sihao Li, Li Shi, Yanzhe Zhao, Shuyan Zhang, Shuozhe Wang:
A compass-based hyper-heuristic for multi-objective optimization problems. 101530 - Gjorgjina Cenikj, Gasper Petelin, Tome Eftimov:
A cross-benchmark examination of feature-based algorithm selector generalization in single-objective numerical optimization. 101534 - Fei Ming, Wenyin Gong, Yaochu Jin:
Growing Neural Gas Network-based surrogate-assisted Pareto set learning for multimodal multi-objective optimization. 101541 - Zhaoxi Ou, Shuai Wang:
Finding robust and influential nodes on directed networks using a memetic algorithm. 101542 - Dikshit Chauhan, Shivani, Ran Cheng:
Competitive Swarm Optimizer: A decade survey. 101543 - Youjie Yao, Xinyu Li, Liang Gao:
A DQN-based memetic algorithm for energy-efficient job shop scheduling problem with integrated limited AGVs. 101544 - Min Li, Yangfan Zhao, Rutun Cao, Junke Wang, Depeng Wu:
A recursive framework for improving the performance of multi-objective differential evolution algorithms for gene selection. 101546 - Xinzhi Zhang, Yeming Yang, Qingling Zhu, Qiuzhen Lin, Weineng Chen, Jianqiang Li, Carlos A. Coello Coello:
Multi-agent deep Q-network-based metaheuristic algorithm for Nurse Rostering Problem. 101547 - Si Long, Jinhua Zheng, Qi Deng, Yuan Liu, Juan Zou, Shengxiang Yang:
A similarity-detection-based evolutionary algorithm for large-scale multimodal multi-objective optimization. 101548 - Yifan Hu, Liping Zhang, Qiong Wang, Zikai Zhang, Qiuhua Tang:
A matheuristic-based multi-objective evolutionary algorithm for flexible assembly jobs shop scheduling problem in cellular manufacture. 101549 - Linshan Ding, Zailin Guan, Mudassar Rauf, Lei Yue:
Multi-policy deep reinforcement learning for multi-objective multiplicity flexible job shop scheduling. 101550 - Youcong Ni, Wentao Liu, Xin Du, Ruliang Xiao, Gaolin Chen, Yong Wu:
Evolutionary optimization approach based on heuristic information with pseudo-utility for the quadratic assignment problem. 101557 - Jin-Shuai Dong, Quan-Ke Pan, Zhong-Hua Miao, Hong-yan Sang, Liang Gao:
An effective multi-objective evolutionary algorithm for multiple spraying robots task assignment problem. 101558 - Zi-Qi Zhang, Yan-Xuan Xu, Bin Qian, Rong Hu, Fang-Chun Wu, Ling Wang:
An enhanced estimation of distribution algorithm with problem-specific knowledge for distributed no-wait flowshop group scheduling problems. 101559 - Cun-Hai Wang, Quan-Ke Pan, Xiao-Ping Li, Hong-yan Sang, Bing Wang:
A multi-objective teaching-learning-based optimizer for a cooperative task allocation problem of weeding robots and spraying drones. 101565 - Xiaoyu Zhong, Xiangjuan Yao, Dunwei Gong, Kangjia Qiao, Xingjia Gan, Zhangxiao Li:
A dual-population-based evolutionary algorithm for multi-objective optimization problems with irregular Pareto fronts. 101566 - Fangfang Zhu, Zhenhao Shuai, Yuer Lu, Honghong Su, Rongwen Yu, Xiang Li, Qi Zhao, Jianwei Shuai:
oBABC: A one-dimensional binary artificial bee colony algorithm for binary optimization. 101567 - Zuowen Liao, Qishuo Pang, Qiong Gu:
Differential evolution based on strategy adaptation and deep reinforcement learning for multimodal optimization problems. 101568 - Xing Bai, Ying Hou, Honggui Han:
Adaptive knowledge transfer-based particle swarm optimization for constrained multitask optimization. 101569 - Tingyu Zhang, Dongcheng Li, Yanchi Li, Wenyin Gong:
Constrained multitasking optimization via co-evolution and domain adaptation. 101570 - Irene Azzali, Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Mario Giacobini, Leonardo Vanneschi:
Automatic feature extraction with Vectorial Genetic Programming for Alzheimer's Disease prediction through handwriting analysis. 101571 - Zhenzu Bai, Haiyin Zhou, Jianmai Shi, Lining Xing, Jiongqi Wang:
A hybrid multi-objective evolutionary algorithm with high solving efficiency for UAV defense programming. 101572 - Quan Minh Phan, Ngoc Hoang Luong:
Parameter-less Pareto local search for multi-objective neural architecture search with the Interleaved Multi-start Scheme. 101573 - Lizhong Yao, Jia Chen, Ling Wang, Rui Li, Haijun Luo, Jun Yi:
Multi-objective optimization driven by preponderant individuals and symmetric sampling for operational parameter design in aluminum electrolysis process. 101574 - Guangyao Zhou, Yuanlun Xie, Haocheng Lan, Wenhong Tian, Rajkumar Buyya, Kui Wu:
Information interaction and partial growth-based multi-population growable genetic algorithm for multi-dimensional resources utilization optimization of cloud computing. 101575 - Peng Duan, Zhenao Yu, Kaizhou Gao, Leilei Meng, Yuyan Han, Fan Ye:
Solving the multi-objective path planning problem for mobile robot using an improved NSGA-II algorithm. 101576 - Juncan Li, Zhenyu Meng:
Global Opposition Learning and Diversity ENhancement based Differential Evolution with exponential crossover for numerical optimization. 101577 - Qiuzhen Wang, Yanhong Li, Zhanglu Hou, Juan Zou, Jinhua Zheng:
A novel multi-population evolutionary algorithm based on hybrid collaboration for constrained multi-objective optimization. 101581 - Chi Zhao, Feng Wang, Xinxin Jiang, Rui Song, Ao Zhang, Xueli Liu:
Thermal parameter identification of concrete dams based on hybrid particle swarm optimization using distributed optical fiber monitoring data. 101582 - Faezeh Eslami, Reza Kamali:
Developing machine learning models with metaheuristic algorithms for droplet size prediction in a microfluidic microchannel. 101583
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