GENETIC ALGORITHMS AS AN APPROACH TO CONFIGURATION AND TOPOLOGY DESIGN

作     者：CHAPMAN, CD SAITOU, K JAKIELA, MJ 

作者机构：Computer-Aided Design Laboratory Department of Mechanical Engineering Massachusetts Institute of Technology Cambridge MA 02139 

出 版 物：《JOURNAL OF MECHANICAL DESIGN》 (J Mech Des, Trans ASME)

年 卷 期：1994年第116卷第4期

页      面：1005-1012页

核心收录：

学科分类：08[工学] 0802[工学-机械工程] 

主　　题：Structural optimization Optimization Design Genetic algorithms Topology Algorithms 

摘      要：The genetic algorithm, a search and optimization technique based on the theory of natural selection, is applied to problems of structural topology design. An overview of the genetic algorithm will first describe the genetics-based representations and operators used in a typical genetic algorithm search. Then, a review of previous research in structural optimization is provided. A discretized design representation, and methods for mapping genetic algorithm chromosomes into this representation, is then detailed. Several examples of genetic algorithm-based structural topology optimization are provided: we address the optimization of cantilevered plate topologies, and we investigate methods for optimizing finely-discretized design domains. The genetic algorithm s ability to find families of highly-fit designs is also examined. Finally, a description of potential future work in genetic algorithm-based structural topology optimization is offered.