SOLVING STRUCTURAL ENGINEERING DESIGN OPTIMIZATION PROBLEMS USING AN ARTIFICIAL BEE COLONY ALGORITHM

被引:129
作者
Garg, Harish [1 ]
机构
[1] Thapar Univ Patiala, Sch Math & Comp Applicat, Patiala 147004, Punjab, India
关键词
Artificial bee colony; constraints handling; structural design optimization; nonlinear constraint; PARTICLE SWARM OPTIMIZATION; HARMONY SEARCH ALGORITHM; CONSTRAINED OPTIMIZATION; EVOLUTIONARY;
D O I
10.3934/jimo.2014.10.777
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The main goal of the present paper is to solve structural engineering design optimization problems with nonlinear resource constraints. Real world problems in engineering domain are generally large scale or nonlinear or constrained optimization problems. Since heuristic methods are powerful than the traditional numerical methods, as they don't requires the derivatives of the functions and provides near to the global solution. Hence, in this article, a penalty guided artificial bee colony (ABC) algorithm is presented to search the optimal solution of the problem in the feasible region of the entire search space. Numerical results of the structural design optimization problems are reported and compared. :Vs shown, the solutions by the proposed approach are all superior to those best solutions by typical approaches in the literature. Also we can say, our results indicate that the proposed approach may yield better solutions to engineering problems than those obtained using current algorithms.
引用
收藏
页码:777 / 794
页数:18
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