Title | ||
---|---|---|
Multiobjective Design Optimization of Merging Configuration for an Exhaust Manifold of a Car Engine |
Abstract | ||
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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. |
Year | DOI | Venue |
---|---|---|
2002 | 10.1007/3-540-45712-7_27 | PPSN |
Keywords | Field | DocType |
multiobjective design optimization,merging configuration,automated design system,multiobjective design optimization system,divided range multiobjective genetic,car engine,pareto solution,engine power,unsteady euler code,three-dimensional manifold shape,empirical engine cycle simulation,exhaust manifold,three dimensional,design optimization,environmental impact | Mathematical optimization,Exhaust manifold,Engine power,Nonlinear system,Computer science,Systems design,Multi-objective optimization,Euler's formula,Genetic algorithm,Pareto principle | Conference |
ISBN | Citations | PageRank |
3-540-44139-5 | 0 | 0.34 |
References | Authors | |
3 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Masahiro Kanazaki | 1 | 0 | 3.38 |
Masashi Morikaw | 2 | 0 | 0.34 |
Shigeru Obayashi | 3 | 368 | 53.59 |
Kazuhiro Nakahashi | 4 | 41 | 4.75 |