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Swarm and Evolutionary Computation, Volume 91
Volume 91, 2024
- Muthukrishnan A, Kamalesh S:
IOT device type identification using magnetized Hopfield neural network with tuna swarm optimization algorithm. 101653 - Yalin Wang, Xujie Tan, Chenliang Liu, Pei-Qiu Huang, Qingfu Zhang, Chunhua Yang:
Exploring interpretable evolutionary optimization via significance of each constraint and population diversity. 101679 - Yelleti Vivek, Vadlamani Ravi, Ponnuthurai Nagaratnam Suganthan, P. Radha Krishna:
Parallel fractional dominance MOEAs for feature subset selection in big data. 101687 - Tenghui Hu, Xianpeng Wang, Lixin Tang, Qingfu Zhang:
A clustering-assisted adaptive evolutionary algorithm based on decomposition for multimodal multiobjective optimization. 101691 - Teng-Yu Chen, Zhong-Hua Miao, Wei-Min Li, Quan-Ke Pan:
A learning-based memetic algorithm for a cooperative task allocation problem of multiple unmanned aerial vehicles in smart agriculture. 101694 - Qiu-Ying Li, Quan-Ke Pan, Liang Gao, Hongyan Sang, Xian-Xia Zhang, Wei-Min Li:
The constrained permutation flowshop problem: An effective two-stage iterated greedy algorithm to minimize weighted tardiness. 101696 - Xin Zhang, Shaopeng Sun, Jian Yao, Wei Fang, Pengjiang Qian:
Multi-population genetic algorithm with crowding-based local search for fuzzy multi-objective supply chain configuration. 101698 - Weichang Sun, Zhihao Luo, Xingchen Hu, Witold Pedrycz, Jianmai Shi:
An improved variable neighborhood search algorithm embedded temporal and spatial synchronization for vehicle and drone cooperative routing problem with pre-reconnaissance. 101699 - Zhenkun Wang, Yuanyao Chen, Genghui Li, Lindong Xie, Yu Zhang:
Batch subproblem coevolution with gaussian process-driven linear models for expensive multi-objective optimization. 101700 - Atiq ur Rehman, Samir Brahim Belhaouari, Amine Bermak:
Reinforced steering Evolutionary Markov Chain for high-dimensional feature selection. 101701 - Qiuzhen Lin, Zhihao Liu, Yeming Yang, Ka-Chun Wong, Yahui Lu, Jianqiang Li:
Multi-objective evolutionary neural architecture search for network intrusion detection. 101702 - Aluízio F. R. Araújo, Lucas R. C. de Farias, Antônio R. C. Gonçalves:
Self-organizing surrogate-assisted non-dominated sorting differential evolution. 101703 - Mustafa Ibrahim Khaleel:
Failure-aware resource provisioning for hybrid computation offloading in cloud-assisted edge computing using gravity reference approach. 101704 - Quanbin Zhang, Zhenyu Meng:
HAPI-DE: Differential evolution with hierarchical archive based mutation strategy and promising information. 101705 - Yaru Hu, Jiankang Peng, Junwei Ou, Yana Li, Jinhua Zheng, Juan Zou, Shouyong Jiang, Shengxiang Yang, Jun Li:
The IGD-based prediction strategy for dynamic multi-objective optimization. 101713 - Guoqing Li, Weiwei Zhang, Caitong Yue, Gary G. Yen:
Clustering-based evolutionary algorithm for constrained multimodal multi-objective optimization. 101714 - Behrouz Ahadzadeh, Moloud Abdar, Mahdieh Foroumandi, Fatemeh Safara, Abbas Khosravi, Salvador García, Ponnuthurai Nagaratnam Suganthan:
UniBFS: A novel uniform-solution-driven binary feature selection algorithm for high-dimensional data. 101715 - Caifeng Chen, Qunfeng Liu, Yunpeng Jing, Mingming Zhang, Shi Cheng, Yun Li:
On the representativeness metric of benchmark problems in numerical optimization. 101716 - Weiwei Zhang, Jiaxin Yang, Guoqing Li, Weizheng Zhang, Gary G. Yen:
Manifold-assisted coevolutionary algorithm for constrained multi-objective optimization. 101717 - Yifan Qin, Libao Deng, Chun-Lei Li, Lili Zhang:
CIR-DE: A chaotic individual regeneration mechanism for solving the stagnation problem in differential evolution. 101718 - Yujun Zheng, Xi-Cheng Xie, Zhi-Yuan Zhang, Jin-Tang Shi:
Deep reinforcement learning assisted memetic scheduling of drones for railway catenary deicing. 101719 - Hermes Robles-Berumen, Amelia Zafra, Sebastián Ventura:
A survey of genetic algorithms for clustering: Taxonomy and empirical analysis. 101720 - Jesús M. Sánchez-Gómez, Miguel A. Vega-Rodríguez, Carlos J. Pérez:
An indicator-based multi-objective variable neighborhood search approach for query-focused summarization. 101721 - Xiaochen Chu, Xiaofeng Han, Maorui Zhang, Miqing Li:
Improving decomposition-based MOEAs for combinatorial optimisation by intensifying corner weights. 101722 - Naveed Ahmed Azam, Takreem Haider, Umar Hayat:
An optimized watermarking scheme based on genetic algorithm and elliptic curve. 101723 - Ruyue Zhang, Shuhua Mao, Shangrui Zhao, Chang Liu:
An arithmetic optimization algorithm with balanced diversity and convergence for multimodal multiobjective optimization. 101724 - Haoran Li, Jingsen Liu, Ping Hu, Huan Zhou:
Solving the storage location assignment of large-scale automated warehouse based on dynamic vortex search algorithm. 101725 - Hai Xia, Changhe Li, Qingshan Tan, Sanyou Zeng, Shengxiang Yang:
Learning to search promising regions by space partitioning for evolutionary methods. 101726 - Songbai Liu, Zeyi Wang, Qiuzhen Lin, Jianyong Chen:
Coevolutionary multitasking for constrained multiobjective optimization. 101727 - Wenji Li, Ruitao Mai, Zhaojun Wang, Yifeng Qiu, Biao Xu, Zhifeng Hao, Zhun Fan:
Surrogate-assisted push and pull search for expensive constrained multi-objective optimization problems. 101728 - Zeyuan Yan, Yuren Zhou, Wei Zheng, Chupeng Su, Weigang Wu:
A dimensionality reduction assisted evolutionary algorithm for high-dimensional expensive multi/many-objective optimization. 101729 - Xiang Guo, Zhong-Hua Miao, Quan-Ke Pan, Xuan He:
Hybrid loading situation vehicle routing problem in the context of agricultural harvesting: A reconstructed MOEA/D with parallel populations. 101730 - Benxue Lu, Kaizhou Gao, Yaxian Ren, Dachao Li, Adam Slowik:
Combining meta-heuristics and Q-learning for scheduling lot-streaming hybrid flow shops with consistent sublots. 101731 - Yufei Yang, Changsheng Zhang, Yi Liu, Jiaxu Ning, Ying Guo:
Deep reinforcement learning assisted novelty search in Voronoi regions for constrained multi-objective optimization. 101732 - Akhil T. Nair, M. Arivazhagan:
Industrial activated sludge model identification using hyperparameter-tuned metaheuristics. 101733 - Adham Salih, Erella Eisenstadt Matalon:
Solving multi-objective robust optimization problems via Stakelberg-based game model. 101734 - Jinlong Zhou, Yinggui Zhang, Ponnuthurai Nagaratnam Suganthan:
Constrained large-scale multiobjective optimization based on a competitive and cooperative swarm optimizer. 101735 - Xiaolong Han, Yu Xue, Zehong Wang, Yong Zhang, Anton Muravev, Moncef Gabbouj:
SaDENAS: A self-adaptive differential evolution algorithm for neural architecture search. 101736 - Donglin Zhu, Jiaying Shen, Yuemai Zhang, Weijie Li, Xingyun Zhu, Changjun Zhou, Shi Cheng, Yilin Yao:
Multi-strategy particle swarm optimization with adaptive forgetting for base station layout. 101737 - Peng Chen, Zhimeng Li, Kangjia Qiao, Ponnuthurai N. Suganthan, Xuanxuan Ban, Kunjie Yu, Caitong Yue, Jing Liang:
An archive-assisted multi-modal multi-objective evolutionary algorithm. 101738 - Salar Farahmand-Tabar, Payam Ashtari:
Intelligent cross-entropy optimizer: A novel machine learning-based meta-heuristic for global optimization. 101739 - Haochang Jin, Chengtao Yang, Junkai Ji, Jin Zhou, Qiuzhen Lin, Jianqiang Li:
Generating logic circuit classifiers from dendritic neural model via multi-objective optimization. 101740 - Hao Hao, Xiaoqun Zhang, Aimin Zhou:
Large language models as surrogate models in evolutionary algorithms: A preliminary study. 101741 - Alanna McNulty, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht:
A comparative study of evolutionary algorithms and particle swarm optimization approaches for constrained multi-objective optimization problems. 101742 - Shanshan Yang, Bo Wei, Li Deng, Xiao Jin, Mingfeng Jiang, Yanrong Huang, Feng Wang:
A leader-adaptive particle swarm optimization with dimensionality reduction strategy for feature selection. 101743 - Guoqing Li, Weiwei Zhang, Caitong Yue, Yirui Wang, Yu Xin, Kui Gao:
A dynamic-ranking-assisted co-evolutionary algorithm for constrained multimodal multi-objective optimization. 101744 - Dawei Zhan:
Expected coordinate improvement for high-dimensional Bayesian optimization. 101745 - Xiaoding Meng, Hecheng Li:
An adaptive co-evolutionary competitive particle swarm optimizer for constrained multi-objective optimization problems. 101746 - Shengran Wang, Jinfu Chen, Jianming Zhang, Saihua Cai, Wen Zhang, Jian Sun:
A novel memory usage guided fuzzing based on particle swarm optimization. 101747 - Yang Chen, Dechang Pi, Shengxiang Yang, Yue Xu, Bi Wang, Yintong Wang:
A multi-strategy optimizer for energy minimization of multi-UAV-assisted mobile edge computing. 101748 - Zhihua Cui, Conghong Qu, Zhixia Zhang, Yaqing Jin, Jianghui Cai, Wensheng Zhang, Jinjun Chen:
An adaptive interval many-objective evolutionary algorithm with information entropy dominance. 101749 - Qichen Zhang, Weishi Shao, Zhongshi Shao, Dechang Pi, Jiaquan Gao:
Deep reinforcement learning driven trajectory-based meta-heuristic for distributed heterogeneous flexible job shop scheduling problem. 101753 - Yujun Zhang, Yufei Wang, Yuxin Yan, Juan Zhao, Zhengming Gao:
Historical knowledge transfer driven self-adaptive evolutionary multitasking algorithm with hybrid resource release for solving nonlinear equation systems. 101754 - Thao Nguyen Da, Phuong Nguyen Thanh, Ming-Yuan Cho:
A cloud 15kV-HDPE insulator leakage current classification based improved particle swarm optimization and LSTM-CNN deep learning approach. 101755 - Shicun Zhao, Hong Zhou, Yujie Zhao, Da Wang:
DQL-assisted competitive evolutionary algorithm for energy-aware robust flexible job shop scheduling under unexpected disruptions. 101750 - Yangkun Xia, Xinran Luo, Ting Jin, Jun Li, Lining Xing:
A tri-chromosome-based evolutionary algorithm for energy-efficient workflow scheduling in clouds. 101751 - Shiting Wang, Jinhua Zheng, Yingjie Zou, Yuan Liu, Juan Zou, Shengxiang Yang:
A population hierarchical-based evolutionary algorithm for large-scale many-objective optimization. 101752 - Yifeng Wang, Yaping Fu, Kaizhou Gao, Humyun Fuad Rahman, Min Huang:
Open shop scheduling with group and transportation operations by learning-driven hyper-heuristic algorithms. 101757 - Xingsi Xue, Jerry Chun-Wei Lin, Tong Su:
Efficient ontology matching through compact linear genetic programming with surrogate-assisted local search. 101758 - Jin Yu, Ya Zhang, Changyin Sun:
Balance of exploration and exploitation: Non-cooperative game-driven evolutionary reinforcement learning. 101759 - Yu Xue, Chenyi Zhang:
A novel importance-guided particle swarm optimization based on MLP for solving large-scale feature selection problems. 101760 - Bo Tian, Himanshu Kaul, Mukund Janardhanan:
Balancing heterogeneous assembly line with multi-skilled human-robot collaboration via Adaptive cooperative co-evolutionary algorithm. 101762 - Haofan Wang, Li Chen, Xingxing Hao, Rong Qu, Wei Zhou, Dekui Wang, Wei Liu:
Learning-guided cross-sampling for large-scale evolutionary multi-objective optimization. 101763 - Yuanzhu Di, Libao Deng, Lili Zhang:
A collaborative-learning multi-agent reinforcement learning method for distributed hybrid flow shop scheduling problem. 101764 - Fuhao Gao, Lingling Huang, Weifeng Gao, Longyue Li, Shuqi Wang, Maoguo Gong, Ling Wang:
Transferring knowledge by budget online learning for multiobjective multitasking optimization. 101765 - Gang Hu, Yixuan Zheng, Essam H. Houssein, Guo Wei:
GSRPSO: A multi-strategy integrated particle swarm algorithm for multi-threshold segmentation of real cervical cancer images. 101766 - Richa Jain, Parminder Singh, Avinash Kaur:
An ensemble reinforcement learning-assisted deep learning framework for enhanced lung cancer diagnosis. 101767 - Lei Ye, Hangqi Ding, Haoran Xu, Benhua Xiang, Yue Wu, Maoguo Gong:
MFWOA: Multifactorial Whale Optimization Algorithm. 101768 - Jianhui Lv, Byung-Gyu Kim, Adam Slowik, B. D. Parameshachari, Saru Kumari, Chien-Ming Chen, Keqin Li:
ERLNEIL-MDP: Evolutionary reinforcement learning with novelty-driven exploration for medical data processing. 101769 - Sanyan Chen, Xuewu Wang, Ye Wang, Xingsheng Gu:
A knowledge-driven many-objective algorithm for energy-efficient distributed heterogeneous hybrid flowshop scheduling with lot-streaming. 101771 - Chao Liu, Yuyan Han, Yuting Wang, Junqing Li, Yiping Liu:
Multi-population coevolutionary algorithm for a green multi-objective flexible job shop scheduling problem with automated guided vehicles and variable processing speed constraints. 101774 - Farooq Ahmed Shah, Noreen Sher Akbar, Tayyab Zamir, Magda Abd El-Rahman, Waqas Ahmed Khan:
Thermal energy analysis using artificial neural network and particle swarm optimization approach in partially ionized hyperbolic tangent material with ternary hybrid nanomaterials. 101775 - Shivani, Dikshit Chauhan, Deepika Rani:
A feasibility restoration particle swarm optimizer with chaotic maps for two-stage fixed-charge transportation problems. 101776 - Majid Ilchi Ghazaan, Amirmohammad Salmani Oshnari, Amirhossein Salmani Oshnari:
A novel adaptive optimization scheme for advancing metaheuristics and global optimization. 101779
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