Multi-objective evolutionary Topological Optimum Design

被引：0
|
作者：
Hamda, H
Roudenko, O
Schoenauer, M
机构：
来源：
ADAPTIVE COMPUTING IN DESIGN AND MANUFACTURE V | 2002年
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D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
The paper deals with the two-objective Topological Optimum Design (TOD) problem of minimizing both the mass of the structure and its maximal displacement under a prescribed loading. A multi-objective evolutionary algorithm (MOEA) using Voronoi representation is applied on the cantilever plate, the popular benchmark problems of TOD. Whereas its results are of the same quality than those of a single-objective approach, it does provide for approximately the same computational cost a sampling the whole Pareto front (i.e. a complete set of trade-off structures). This makes multi-objective approach extremely interesting for solving real life TOD problems where the evaluation cost is usually quite high.
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页码：121 / 132
页数：12
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