A hybrid artificial bee colony based on differential evolution for production scheduling problems Online publication date: Wed, 31-Dec-2014
by Hui Wang; Wenjun Wang; Jia Zhao; Huasheng Zhu; Hui Sun
International Journal of Innovative Computing and Applications (IJICA), Vol. 6, No. 2, 2014
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.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Innovative Computing and Applications (IJICA):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com
Our Blog 
Follow us on Twitter 
Visit us on Facebook