ARTIFICIAL BEE COLONY CONSTRAINED OPTIMIZATION ALGORITHM WITH HYBRID DISCRETE VARIABLES AND ITS APPLICATION
Acta Electronica Malaysia (AEM)
Author: Zhonghua Yan
This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited
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.