ARTIFICIAL BEE COLONY CONSTRAINED OPTIMIZATION ALGORITHM WITH HYBRID DISCRETE VARIABLES AND ITS APPLICATION

Acta Electronica Malaysia

article

Zhonghua Yan¹ 

[1]Changde Textile Machinery Co. Ltd

关键词: Artificial Bee Colony Optimization Algorithm(ABCOA);    Constrained optimization;    hybrid discrete variable;    Dynamic Penalty Function;    Evolutionary Algorithm.;   

DOI  :  10.26480/aem.01.2018.18.20

来源: Zibeline International

【 摘 要 】

On the basis of Artificial Bee Colony Optimization Algorithm, a new algorithm by introducing constructing dynamic penalty function was presented. Based on Matlab software, the program ABCOA1.0 with hybrid discrete variables for the proposed algorithm was developed. The results show that this algorithm has no special requirements on the characteristics of optimal designing problems, which has a fairly good universal adaptability and a reliable operation of program with a strong ability of overall convergence. After optimization, the weight can be reduced, the cost can be lowered, and the product quality can be raised.

【 授权许可】

Unknown