Structural design of vehicle components using gravitational search and charged system search algorithms

被引：90

作者：

Yildiz, Betul Sultan ^{[2
]}

Lekesiz, Huseyin ^{[1
]}

Yildiz, Ali Riza ^{[1
,3
,4
,5
,6
]}

机构：

[1] Bursa Tech Univ, Dept Mech Engn, Bursa, Turkey

[2] Bursa Tech Univ, Bursa, Turkey

[3] Bursa Tech Univ, Nat Sci & Engn Fac, Bursa, Turkey

[4] Bursa Tech Univ, MPDOL, Bursa, Turkey

[5] Univ Michigan, Ann Arbor, MI 48109 USA

[6] Mississippi State Univ, CAVS, Mississippi State, MS USA

来源：

MATERIALS TESTING | 2016年 / 58卷 / 01期

关键词：

Structural design; charged system search; optimization; vehicle design; PARTICLE SWARM OPTIMIZATION;

D O I：

10.3139/120.110819

中图分类号：

TB3 [工程材料学];

学科分类号：

0805 ; 080502 ;

摘要：

The fuel and cost efficiency in automotive industry is related to the designing of light-weight vehicle components. Main aim of this paper is to show effectiveness of two new optimization algorithms in solving structural design optimization problems. The gravitational search algorithm (GSA) and charged system search algorithm (CSS) are applied to the optimum design of a vehicle component. The results show that both GSA and CSS have a better search capability than the genetic algorithms to find optimum solutions.

引用

页码：79 / 81

页数：3

共 21 条

[1] Design of steel frames using ant colony optimization [J].