Suchergebnisse - "many-objective evolutionary algorithm"

Micro Many-Objective Evolutionary Algorithm With Knowledge Transfer

Autoren: Hu Peng Zhongtian Luo Tian Fang et al.

Quelle: IEEE Transactions on Emerging Topics in Computational Intelligence. 9:43-56

A many-objective evolutionary algorithm based on decision variable classification mutation and indicator

Autoren: Wei Ren Fangzhen Ge Debao Chen et al.

Quelle: The Journal of Supercomputing. 81

Many-Objective Evolutionary Algorithm Based on Spectral Clustering and Population Distribution

Autoren: Jiaqi Yao Bin Liu

Quelle: 2024 International Conference on New Trends in Computational Intelligence (NTCI). :286-291

Many-objective evolutionary algorithm with multi-strategy selection mechanism and adaptive reproduction operation

Autoren: Wei Li Jingqi Tang Lei Wang

Quelle: The Journal of Supercomputing. 80:24435-24482

DNA sequences design under many objective evolutionary algorithm

Autoren: Huaiyu Guo Donglin Zhu Changjun Zhou et al.

Quelle: Cluster Computing. 27:14167-14183

Optimal scheduling and management of grid‐connected distributed resources using improved decomposition‐based many‐objective evolutionary algorithm

Autoren: Ghulam Abbas Zhi Wu Aamir Ali

Quelle: IET Generation, Transmission & Distribution, Vol 18, Iss 16, Pp 2625-2649 (2024)

Schlagwörter: TK1001-1841, distribution planning and operation, Distribution or transmission of electric power, 0211 other engineering and technologies, TK3001-3521, 02 engineering and technology, power distribution planning, power system economics, 7. Clean energy, Production of electric energy or power. Powerplants. Central stations, distribution networks, evolutionary computation, 13. Climate action, 0202 electrical engineering, electronic engineering, information engineering, battery management systems

Zugangs-URL: https://doaj.org/article/74a09034195b4c6dbcf3cb7d38a01eb7

An adaptive boundary-based selection many-objective evolutionary algorithm with density estimation

Autoren: Jiale Luo Chenxi Wang Qinghua Gu et al.

Quelle: Applied Intelligence. 54:8761-8788

Two-stage many-objective evolutionary algorithm: enhanced dominance relations and control mechanisms for separated balance

Autoren: Wei Li Qilin Niliang Lei Wang et al.

Quelle: Complex & Intelligent Systems, Vol 10, Iss 5, Pp 6509-6543 (2024)

Schlagwörter: Many-objective optimization, Diversity, Two-stage strategy, Evolutionary algorithm, Electronic computers. Computer science, 0202 electrical engineering, electronic engineering, information engineering, QA75.5-76.95, Information technology, 02 engineering and technology, Convergence, T58.5-58.64

Zugangs-URL: https://doaj.org/article/b4c715e8892e49ba8234e59e07e8367d

A Many-objective Evolutionary Algorithm Approach for Graph Visualization

Autoren: Burhan Khan Michael Johnstone Douglas Creighton

Quelle: 2024 IEEE International Systems Conference (SysCon). :1-7

A many-objective evolutionary algorithm using indicator-driven weight vector optimization

Autoren: Han, Xiaojing Li, Yuanxin

Schlagwörter: FOS: Computer and information sciences, Neural and Evolutionary Computing, Neural and Evolutionary Computing (cs.NE)

Zugangs-URL: http://arxiv.org/abs/2510.02709

A many-objective evolutionary algorithm based on learning assessment and mapping guidance of historical superior information

Autoren: Jinlian Xiong Gang Liu Zhigang Gao et al.

Quelle: Journal of Computational Design and Engineering. 11:194-229

Schlagwörter: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Many-objective evolutionary algorithm based on dynamic mating and strengthened fitness selection mechanism

Autoren: Wei Li Wenhao Tang Lei Wang

Quelle: The Journal of Supercomputing. 81

A many-objective evolutionary algorithm for solving computation offloading problems under uncertain communication conditions

Autoren: Qi Li Zhenyu Shi Zhaoyu Xue et al.

Quelle: Computer Communications. 213:22-32

An Indicator-Based Many-Objective Evolutionary Algorithm With Adaptive Reference Points Assisted by Growing Neural Gas Network

Autoren: Chunlei Li Libao Deng Liyan Qiao et al.

Quelle: IEEE Transactions on Emerging Topics in Computational Intelligence. :1-16

Efficient complex task offloading in blockchain-secured edge computing using a many-objective evolutionary algorithm

Autoren: Shilong Li Wenping Ma

Quelle: Future Generation Computer Systems. 174:107937

An adaptive many-objective evolutionary algorithm based on decomposition with two archives and an entropy trigger

Autoren: Cao, Li Wang, Maocai Vasile, Massimiliano et al.

Quelle: Engineering Optimization. 56:1707-1747

Schlagwörter: Electronic computers. Computer science, 0202 electrical engineering, electronic engineering, information engineering, Mechanical engineering and machinery, 02 engineering and technology

Dateibeschreibung: text

A decomposition-based many-objective evolutionary algorithm with weight grouping and adaptive adjustment

Autoren: Xiaoxin Gao Fazhi He Jinkun Luo et al.

Quelle: Memetic Computing. 16:91-113

Dynamic decomposition and hyper-distance based many-objective evolutionary algorithm

Autoren: Xujian Wang Fenggan Zhang Minli Yao

Quelle: Complex & Intelligent Systems, Vol 11, Iss 1, Pp 1-20 (2024)

Schlagwörter: Many-objective optimization, Hyperplane, Electronic computers. Computer science, Angle penalty distance, QA75.5-76.95, Information technology, T58.5-58.64, Hyper-distance, Dynamic decomposition

Zugangs-URL: https://doaj.org/article/d727d693d6e244da84c13512b1a82208

A many-objective evolutionary algorithm with metric-based reference vector adjustment

Autoren: Xujian Wang Fenggan Zhang Minli Yao

Quelle: Complex & Intelligent Systems, Vol 10, Iss 1, Pp 207-231 (2023)

Schlagwörter: Many-objective optimization, Decomposition, 0209 industrial biotechnology, Electronic computers. Computer science, Reference vector adjustment, 0202 electrical engineering, electronic engineering, information engineering, QA75.5-76.95, Information technology, 02 engineering and technology, T58.5-58.64, Multiobjective optimization

Zugangs-URL: https://doaj.org/article/bb26a9b41ed24a63aef7d9f9cdf3e6f4

A many-objective evolutionary algorithm based on novel fitness estimation and grouping layering

Autoren: Wei Zhang Jianchang Liu Junhua Liu et al.

Quelle: Neural Computing and Applications. 35:24283-24314