Applications of Intelligent Evolutionary Algorithms in Optimal Automation System Design

This paper proposes an intelligent evolutionary algorithm that can be applied in the design of optimal automation systems, and employs a multimodal six-bar mechanism optimization design, job shop production scheduling for the fishing equipment industry, and dynamic real-time production scheduling sy...

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Bibliographic Details
Published inInternational journal of automation and smart technology Vol. 1; no. 1; pp. 21 - 34
Main Authors Liu, Tung-Kuan, Chou, Jyh-Horng
Format Journal Article
LanguageEnglish
Published Chinese Institute of Automation Engineers (CIAE) & Taiwan Smart Living Space Association (SMART LISA) 01.09.2011
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ISSN2223-9766
2223-9766
DOI10.5875/ausmt.v1i1.100

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Summary:This paper proposes an intelligent evolutionary algorithm that can be applied in the design of optimal automation systems, and employs a multimodal six-bar mechanism optimization design, job shop production scheduling for the fishing equipment industry, and dynamic real-time production scheduling system design cases to show how the technique developed in this paper is highly effective at resolving optimal automation system design problems. Major breakthroughs in artificial intelligence continue to be made in the wake of advanced information technology developments, and the field of intelligent evolutionary algorithms has attracted a particularly large amount of attention from researchers and users in the artificial intelligence community. The successful optimization of automation system design requires interdisciplinary integration, and further requires the use of actual cases, verification, and improvement to ensure implementation in real-world applications. 
ISSN:2223-9766
2223-9766
DOI:10.5875/ausmt.v1i1.100