default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDSwarm 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
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2025-02-05 20:37 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
