Optimal design of machine elements using genetic algorithms

Jahau Lewis Chen, Yi Cheng Tsao

研究成果: Article同行評審

27 引文 斯高帕斯(Scopus)


Genetic algorithms are adaptive procedures that find solutions to problems by an evolutionary process based on natural selection. In this paper, the use of genetic algorithms for the optimal design of machine elements is presented. The theorem of genetic algorithms is introduced. The approach of adapting the genetic algorithms into the optimal design process is described. Finally, the capability of genetic algorithms in solving optimal design problems is demonstrated by the welding design and coil-spring design problems.

All Science Journal Classification (ASJC) codes

  • 工程 (全部)


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