A hybrid artificial bee colony based on differential evolution for production scheduling problems. (23rd December 2014)

• Record Type: Journal Article
• Authors: Wang, Hui; Wang, Wenjun; Zhao, Jia; Zhu, Huasheng; Sun, Hui
• Is Part Of: International journal of innovative computing and applications. Volume 6:Number 2(2014)
• Page Start: 55
• Page End: 62
• Publication Date: 2014-12-23
• Subjects: artificial bee colony -- ABC -- differential evolution -- DE -- production scheduling -- optimisation; Evolutionary computation -- Periodicals; Neural networks (Computer science) -- Periodicals; Genetic programming (Computer science) -- Periodicals; Biologically-inspired computing -- Periodicals; Swarm intelligence -- Periodicals; Quantum computers -- Periodicals; 006.3
• Languages: English
• ISSNs: 1751-648X

Abstract

Artificial bee colony (ABC) is a new optimisation technique, which has been successfully applied to various optimisation problems. In this paper, we propose a new ABC algorithm called ABCDE, which utilises the differential evolution (DE) scheme. It is known that both employed and onlooker bees in ABC use the same solution search strategy to generate new candidate solutions. In our new approach ABCDE, the employed bees still use the original solution search strategy, while the onlooker bees employ the DE scheme. Experimental studies are conducted on a set of recently proposed CEC 2014 benchmark functions. Computational results show the good search abilities of ABCDE. To further verify the performance of ABCDE on discrete optimisation problems, we apply ABCDE to solve production scheduling problems. Simulation results demonstrate that our approach can achieve promising solutions.