Exhaust manifold design with tapered pipes using divided range MOGA

Masahiro Kanazaki, Shigeru Obayashi, Kazuhiro Nakahashi

Research output: Contribution to journalArticlepeer-review

21 Citations (Scopus)


A multiobjective design optimization system of exhaust manifold shapes with tapered pipes for a car engine has been developed by using divided range multiobjective genetic algorithm (DRMOGA) to obtain more engine power as well as to produce less pollutant. Although the present design problem is known to be highly non-linear, the exhaust manifold has been successfully designed to improve both objectives. A comparison of the results obtained by DRMOGA and MOGA was performed and DRMOGA was demonstrated to find better solutions than MOGA.

Original languageEnglish
Pages (from-to)149-163
Number of pages15
JournalEngineering Optimization
Issue number2
Publication statusPublished - 2004 Apr 1


  • Car engine
  • Evolutionary computation
  • Exhaust system
  • Multiobjective optimization

ASJC Scopus subject areas

  • Computer Science Applications
  • Control and Optimization
  • Management Science and Operations Research
  • Industrial and Manufacturing Engineering
  • Applied Mathematics

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