Improved Genetic Algorithm with Two-Level Approximation for Truss Optimization by Using Discrete Shape Variables

This paper presents an Improved Genetic Algorithm with Two-Level Approximation (IGATA) to minimize truss weight by simultaneously optimizing size, shape, and topology variables. On the basis of a previously presented truss sizing/topology optimization method based on two-level approximation and gene...

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Bibliographic Details
Main Authors: Shen-yan Chen, Xiao-fang Shui, Dong-fang Li, Hai Huang
Format: Article
Language:English
Published: Hindawi Limited 2015-01-01
Series:Mathematical Problems in Engineering
Online Access:http://dx.doi.org/10.1155/2015/521482