Hybridizing artificial bee colony with biogeography-based optimization for constrained mechanical design problems

作     者：蔡绍洪 龙文 焦建军 CAI Shao-hong;LONG Wen;JIAO Jian-jun

作者机构：Guizhou Key Laboratory of Economics System SimulationGuizhou University of Finance & Economics School of Mathematics and Statistics Guizhou University of Finance & Economics 

基　　金：Projects(61463009,11264005,11361014)supported by the National Natural Science Foundation of China Project(2082)supported by the Science Technology Foundation of Guizhou Province,China 

出 版 物：《中南大学学报：英文版》 (Journal of Central South University)

年 卷 期：2015年第22卷第6期

页      码：2250-2259页

摘      要：A novel hybrid algorithm named ABC-BBO, which integrates artificial bee colony(ABC) algorithm with biogeography-based optimization(BBO) algorithm, is proposed to solve constrained mechanical design problems. ABC-BBO combined the exploration of ABC algorithm with the exploitation of BBO algorithm effectively, and hence it can generate the promising candidate individuals. The proposed hybrid algorithm speeds up the convergence and improves the algorithm s performance. Several benchmark test functions and mechanical design problems are applied to verifying the effects of these improvements and it is demonstrated that the performance of this proposed ABC-BBO is superior to or at least highly competitive with other population-based optimization approaches.

主 题 词：优化问题 机械设计 基础地理 蜂群 人工 混合算法 杂交 设计问题 

学科分类：12[管理学] 08[工学] 0810[工学-土木类] 1201[管理学-管理科学与工程类] 0806[工学-电气类] 081104[081104] 080203[080203] 0805[工学-能源动力学] 0703[理学-化学类] 0802[工学-机械学] 0835[0835] 0811[工学-水利类] 0812[工学-测绘类] 

核心收录：

D　O　I：10.1007/s11771-015-2749-6

馆 藏 号：203650830...