Multiobjective design optimization of merging configuration for an exhaust manifold of a car engine

Masahiro Kanazaki, Masashi Morikaw, Shigeru Obayashi, Kazuhiro Nakahashi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

16 Citations (Scopus)

Abstract

Multiobjective design optimization system of exhaust manifold shapes for a car engine has been developed using Divided Range Multiobjective Genetic Algorithm (DRMOGA) to obtain more engine power as well as to achieve less environmental impact. The three-dimensional manifold shapes are evaluated by the unstructured, unsteady Euler code coupled with the empirical engine cycle simulation code. This automated design system using DRMOGA was confirmed to find Pareto solutions for the highly nonlinear problems.

Original languageEnglish
Title of host publicationParallel Problem Solving from Nature - PPSN 2002 - 7th International Conference, Proceedings
EditorsPanagiotis Adamidis, Juan Julian Merelo Guervos, Hans-Georg Beyer, Hans-Paul Schwefel, Jose-Luis Fernandez-Villacanas
PublisherSpringer-Verlag
Pages281-287
Number of pages7
ISBN (Print)3540441395
Publication statusPublished - 2002 Jan 1
Event7th International Conference on Parallel Problem Solving from Nature, PPSN 2002 - Granada, Spain
Duration: 2002 Sep 72002 Sep 11

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2439
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other7th International Conference on Parallel Problem Solving from Nature, PPSN 2002
CountrySpain
CityGranada
Period02/9/702/9/11

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Fingerprint Dive into the research topics of 'Multiobjective design optimization of merging configuration for an exhaust manifold of a car engine'. Together they form a unique fingerprint.

Cite this