New Knowledge-based Genetic Algorithm for Excavator Boom Structural Optimization

Due to the insufficiency of utilizing knowledge to guide the complex optimal searching, existing genetic algorithms fail to effectively solve excavator boom structural optimization problem. To improve the optimization efficiency and quality, a new knowledge-based real-coded genetic algorithm is prop...

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Vydané v:	Chinese journal of mechanical engineering Ročník 27; číslo 2; s. 392 - 401
Hlavní autori:	Hua, Haiyan, Lin, Shuwen
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Beijing Chinese Mechanical Engineering Society 01.03.2014 Springer Nature B.V School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou 350108, China
Vydanie:	English ed.
Predmet:	Boom Crossovers Electrical Machines and Networks Electronics and Microelectronics Engineering Engineering Thermodynamics Evolution Evolutionary algorithms Excavators Genetic algorithms Heat and Mass Transfer Instrumentation Knowledge Knowledge base Knowledge bases (artificial intelligence) Machines Manufacturing Mechanical Engineering Operators Optimization Power Electronics Processes Search algorithms Searching Theoretical and Applied Mechanics 优化问题动臂结构实数编码遗传算法工艺知识挖掘机测试算法结构优化进化机制 dual evolution mechanism domain culture boom structural optimization deep implicit knowledge knowledge-based genetic strategies
ISSN:	1000-9345, 2192-8258
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