Výsledky vyhledávání - "many‐objective evolutionary algorithm"

Micro Many-Objective Evolutionary Algorithm With Knowledge Transfer

Autoři: Hu Peng Zhongtian Luo Tian Fang a další

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

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

Autoři: Wei Ren Fangzhen Ge Debao Chen a další

Zdroj: The Journal of Supercomputing. 81

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

Autoři: Jiaqi Yao Bin Liu

Zdroj: 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

Autoři: Wei Li Jingqi Tang Lei Wang

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

DNA sequences design under many objective evolutionary algorithm

Autoři: Huaiyu Guo Donglin Zhu Changjun Zhou a další

Zdroj: Cluster Computing. 27:14167-14183

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

Autoři: Ghulam Abbas Zhi Wu Aamir Ali

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

Témata: 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

Přístupová URL adresa: https://doaj.org/article/74a09034195b4c6dbcf3cb7d38a01eb7

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

Autoři: Jiale Luo Chenxi Wang Qinghua Gu a další

Zdroj: Applied Intelligence. 54:8761-8788

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

Autoři: Wei Li Qilin Niliang Lei Wang a další

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

Témata: 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

Přístupová URL adresa: https://doaj.org/article/b4c715e8892e49ba8234e59e07e8367d

A Many-objective Evolutionary Algorithm Approach for Graph Visualization

Autoři: Burhan Khan Michael Johnstone Douglas Creighton

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

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

Autoři: Han, Xiaojing Li, Yuanxin

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

Přístupová URL adresa: http://arxiv.org/abs/2510.02709

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

Autoři: Jinlian Xiong Gang Liu Zhigang Gao a další

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

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

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

Autoři: Wei Li Wenhao Tang Lei Wang

Zdroj: The Journal of Supercomputing. 81

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

Autoři: Qi Li Zhenyu Shi Zhaoyu Xue a další

Zdroj: Computer Communications. 213:22-32

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

Autoři: Chunlei Li Libao Deng Liyan Qiao a další

Zdroj: 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

Autoři: Shilong Li Wenping Ma

Zdroj: Future Generation Computer Systems. 174:107937

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

Autoři: Cao, Li Wang, Maocai Vasile, Massimiliano a další

Zdroj: Engineering Optimization. 56:1707-1747

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

Popis souboru: text

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

Autoři: Xiaoxin Gao Fazhi He Jinkun Luo a další

Zdroj: Memetic Computing. 16:91-113

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

Autoři: Xujian Wang Fenggan Zhang Minli Yao

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

Témata: 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

Přístupová URL adresa: https://doaj.org/article/d727d693d6e244da84c13512b1a82208

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

Autoři: Xujian Wang Fenggan Zhang Minli Yao

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

Témata: 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

Přístupová URL adresa: https://doaj.org/article/bb26a9b41ed24a63aef7d9f9cdf3e6f4

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

Autoři: Wei Zhang Jianchang Liu Junhua Liu a další

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