A hybrid cuckoo search algorithm with feasibility-based rule for constrained structural optimization
来源期刊：中南大学学报(英文版)2014年第8期
论文作者：LONG Wen(龙文) ZHANG Wen-zhuan(张文专) HUANG Ya-fei(黄亚飞) CHEN Yi-xiong(陈义雄)
文章页码：3197 - 3204
Key words：constrained optimization problem; cuckoo search algorithm; pattern search; feasibility-based rule; engineering optimization
Abstract: Constrained optimization problems are very important as they are encountered in many science and engineering applications. As a novel evolutionary computation technique, cuckoo search (CS) algorithm has attracted much attention and wide applications, owing to its easy implementation and quick convergence. A hybrid cuckoo pattern search algorithm (HCPS) with feasibility-based rule is proposed for solving constrained numerical and engineering design optimization problems. This algorithm can combine the stochastic exploration of the cuckoo search algorithm and the exploitation capability of the pattern search method. Simulation and comparisons based on several well-known benchmark test functions and structural design optimization problems demonstrate the effectiveness, efficiency and robustness of the proposed HCPS algorithm.
LONG Wen(龙文)1, ZHANG Wen-zhuan(张文专)1, HUANG Ya-fei(黄亚飞)2, CHEN Yi-xiong(陈义雄)2
(1. Guizhou Key Laboratory of Economics System Simulation, Guizhou University of Finance & Economics,
Guiyang 550004, China;
2. School of Information Science and Engineering, Central South University, Changsha 410083, China)
Abstract:Constrained optimization problems are very important as they are encountered in many science and engineering applications. As a novel evolutionary computation technique, cuckoo search (CS) algorithm has attracted much attention and wide applications, owing to its easy implementation and quick convergence. A hybrid cuckoo pattern search algorithm (HCPS) with feasibility-based rule is proposed for solving constrained numerical and engineering design optimization problems. This algorithm can combine the stochastic exploration of the cuckoo search algorithm and the exploitation capability of the pattern search method. Simulation and comparisons based on several well-known benchmark test functions and structural design optimization problems demonstrate the effectiveness, efficiency and robustness of the proposed HCPS algorithm.
Key words:constrained optimization problem; cuckoo search algorithm; pattern search; feasibility-based rule; engineering optimization
