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检索条件"主题词=multi-objective optimal problem"
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Fuel consumption optimization for smart hybrid electric vehicle during a car-following process
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MECHANICAL SYSTEMS AND SIGNAL PROCESSING 2017年 第PartB期87卷 17-29页
作者: Li, Liang Wang, Xiangyu Song, Jian Tsinghua Univ State Key Lab Automot Safety & Energy Beijing 100084 Peoples R China
Hybrid electric vehicles (HEVs) provide large potential to save energy and reduce emission, and smart vehicles bring out great convenience and safety for drivers. By combining these two technologies, vehicles may achi... 详细信息
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A multi-objective Differential Evolutionary Algorithm Based on Spacial Distance
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3rd International Conference on Intelligence Computation and Applications
作者: Zheng, Jinhua Wu, Jun Lv, Hui Xiangtan Univ Inst Informat Engn Xiangtan 411105 Peoples R China
Differential Evolution (DE) is a relatively new EA and it has become a major branch of EA. Based on the classical Differential Evolution. we proposed a new multi-objective Differential Evolutionary Algorithm ill this ... 详细信息
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A multi-objective optimal Evolutionary Algorithm Based on Tree-Ranking
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Wuhan University Journal of Natural Sciences 2003年 第S1期8卷 207-211页
作者: Shi Chuan, Kang Li-shan, Li Yan, Yan Zhen-yuState Key Laboratory of Software Engineering, Wuhan University, Wuhan 430072, Hubei,China Wuhan University State Key Laboratory of Software Engineering Wuhan Hubei China (GRID:grid.49470.3e) (ISNI:***)
multi-objective optimal evolutionary algorithms (MOEAs) are a kind of new effective algorithms to solve multi-objective optimal problem (MOP). Because ranking, a method which is used by most MOEAs to solve MOP, has so... 详细信息
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