Multiobjective optimization of trusses using genetic algorithms

被引：173
|
作者：
Coello, CA [1 ]
Christiansen, AD
机构：
[1] Lab Nacl Informat Avanzada, Xalapa 91090, Veracruz, Mexico
[2] Tulane Univ, Dept Comp Sci, New Orleans, LA 70118 USA
来源：
COMPUTERS & STRUCTURES | 2000年 / 75卷 / 06期
关键词：
genetic algorithms; multiobjective optimization; multicriteria optimization; vector optimization; structural optimization; truss optimization;
D O I：
10.1016/S0045-7949(99)00110-8
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
In this paper we propose the use of the genetic algorithm (GA) as a tool to solve multiobjective optimization problems in structures. Using the concept of min-max optimum, a new GA-based multiobjective optimization technique is proposed and two truss design problems are solved using it. The results produced by this new approach are compared to those produced by other mathematical programming techniques and GA-based approaches, proving that this technique generates better trade-offs and that the genetic algorithm can be used as a reliable numerical optimization tool. (C) 2000 Elsevier Science Ltd. All rights reserved.
引用
收藏
页码：647 / 660
页数：14
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