Optimal design of machine elements using genetic algorithms

Jahau Lewis Chen, Yi Cheng Tsao

Research output: Contribution to journalArticle

27 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)193-199
Number of pages7
JournalJournal of the Chinese Society of Mechanical Engineers, Transactions of the Chinese Institute of Engineers, Series C/Chung-Kuo Chi Hsueh Kung Ch'eng Hsuebo Pao
Volume14
Issue number2
Publication statusPublished - 1993 Apr

All Science Journal Classification (ASJC) codes

  • Engineering(all)

Fingerprint Dive into the research topics of 'Optimal design of machine elements using genetic algorithms'. Together they form a unique fingerprint.

  • Cite this