Evolutionary Technologies: Fundamentals and Applications to Information/Communication Systems and Manufacturing/Logistics Systems

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  • Gen Mitsuo
    Fuzzy Logic Systems Institute
  • Kawakami Hiroshi
    Department of System Science, Graduate School of Informatics, Kyoto University
  • Tsujimura Yasuhiro
    Nippon Institute of Technology
  • Handa Hisashi
    Division of Industrial Innovation Sciences, Graduate School of Natural Science and Technology, Okayama University
  • Lin Lin
    Fuzzy Logic Systems Institute School of Software, Dalian University of Technology
  • Okamoto Azuma
    Faculty of Software and Information Science, Iwate Prefectural University

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Other Title
  • 進化技術の基礎と情報通信・生産物流システムへの応用
  • シンカ ギジュツ ノ キソ ト ジョウホウ ツウシン セイサン ブツリュウ システム エ ノ オウヨウ

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Abstract

As efficient utilization of computational resources is increasing, evolutionary technology based on the Genetic Algorithm (GA), Genetic Programming (GP), Evolution Strategy (ES) and other Evolutionary Computations (ECs) is making rapid progress, and its social recognition and the need as applied technology are increasing. This is explained by the facts that EC offers higher robustness for knowledge information processing systems, intelligent production and logistics systems, most advanced production scheduling and other various real-world problems compared to the approaches based on conventional theories, and EC ensures flexible applicability and usefulness for any unknown system environment even in a case where accurate mathematical modeling fails in the formulation. In this paper, we provide a comprehensive survey of the current state-of-the-art in the fundamentals and applications of evolutionary technologies.

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