Tehnički vjesnik, Vol. 27 No. 1, 2020.
Prethodno priopćenje
https://doi.org/10.17559/TV-20180516081110
An Efficient Universal Bee Colony Optimization Algorithm
Xuming Han
; School of Computer Science and Engineering, Changchun University of Technology, Changchun 130012, China
Yidan Wang
; School of Computer Science and Engineering, Changchun University of Technology, Changchun 130012, China
Chen Cai
; School of Control and Computer Engineering, North China Electric Power University, Changchun 130012, China
Limin Wang*
; School of Management Science and Information, Engineering, Jilin University Finance and Economics, Changchun 130117, China
Xiuping Hou
; School of Computer Science and Engineering, Changchun University of Technology, Changchun 130012, China
Linlin Wang
; School of Computer Science and Engineering, Changchun University of Technology, Changchun 130012, China
Sažetak
The artificial bee colony algorithm is a global optimization algorithm. The artificial bee colony optimization algorithm is easy to fall into local optimal. We proposed an efficient universal bee colony optimization algorithm (EUBCOA). The algorithm adds the search factor u and the selection strategy of the onlooker bees based on local optimal solution. In order to realize the controllability of algorithm search ability, the search factor u is introduced to improve the global search range and local search range. In the early stage of the iteration, the search scope is expanded and the convergence rate is increased. In the latter part of the iteration, the algorithm uses the selection strategy to improve the algorithm accuracy and convergence rate. We select ten benchmark functions to testify the performance of the algorithm. Experimental results show that the EUBCOA algorithm effectively improves the convergence speed and convergence accuracy of the ABC algorithm.
Ključne riječi
artificial bee colony algorithm; fitness; search factor; universal optimization
Hrčak ID:
234243
URI
Datum izdavanja:
15.2.2020.
Posjeta: 1.107 *