• Title/Summary/Keyword: genitic algorithms

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The System Shape and Size Discrete Optimum Design of Space Trusses using Genetic Algorithms (Genetic Algorithms에 의한 입체트러스의 시스템 형상 및 단면 이산화 최적설계)

  • Park, Choon Wook;Kim, Myung Sun;Kang, Moon Myung
    • Journal of Korean Society of Steel Construction
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    • v.13 no.5
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    • pp.577-586
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    • 2001
  • The objective of this study is the development of sizing and system shape discrete optime design algorithm which is based on the genetic algorithms (GAs). The algorithm can perform both size and shape optimum designs of space trusses. The developed algorithm was implemented in a computer program. The algorithm is known to be very efficient for the discrete optimization The genetic process selects the next design points based on the survivability of the current design points The evolutionary process evaluates the survivability of the design points selected from the genetic process in the genetic process of the simple genetic algorithms there are three basic operators : reproduction cross-over and mutation operators. The efficiency and validity of the developed discrete optimum design algorithm was verified by applying the algorithm to optimum design examples.

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