Výsledky vyhľadávania - "Many-objective evolutionary algorithm"

Micro Many-Objective Evolutionary Algorithm With Knowledge Transfer

Autori: Hu Peng Zhongtian Luo Tian Fang a ďalší

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

Autori: Wei Ren Fangzhen Ge Debao Chen a ďalší

Zdroj: The Journal of Supercomputing. 81

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

Autori: 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

Autori: Wei Li Jingqi Tang Lei Wang

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

DNA sequences design under many objective evolutionary algorithm

Autori: Huaiyu Guo Donglin Zhu Changjun Zhou a ďalší

Zdroj: Cluster Computing. 27:14167-14183

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

Autori: Ghulam Abbas Zhi Wu Aamir Ali

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

Predmety: 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

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

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

Autori: Jiale Luo Chenxi Wang Qinghua Gu a ďalší

Zdroj: Applied Intelligence. 54:8761-8788

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

Autori: Wei Li Qilin Niliang Lei Wang a ďalší

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

Predmety: 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

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

A Many-objective Evolutionary Algorithm Approach for Graph Visualization

Autori: 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

Autori: Han, Xiaojing Li, Yuanxin

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

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

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

Autori: Jinlian Xiong Gang Liu Zhigang Gao a ďalší

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

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

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

Autori: 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

Autori: Qi Li Zhenyu Shi Zhaoyu Xue a ďalší

Zdroj: Computer Communications. 213:22-32

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

Autori: Chunlei Li Libao Deng Liyan Qiao a ďalší

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

Autori: 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

Autori: Cao, Li Wang, Maocai Vasile, Massimiliano a ďalší

Zdroj: Engineering Optimization. 56:1707-1747

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

Popis súboru: text

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

Autori: Xiaoxin Gao Fazhi He Jinkun Luo a ďalší

Zdroj: Memetic Computing. 16:91-113

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

Autori: Xujian Wang Fenggan Zhang Minli Yao

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

Predmety: 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

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

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

Autori: Xujian Wang Fenggan Zhang Minli Yao

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

Predmety: 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

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

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

Autori: Wei Zhang Jianchang Liu Junhua Liu a ďalší

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