Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/11436
Title: A modified artificial bee colony algorithm for order acceptance in two-machine flow shops
Authors: Wang, X
Xie, X
Cheng, TCE 
Keywords: Artificial bee colony algorithm
Order acceptance
Revenue
Scheduling
Issue Date: 2013
Publisher: Elsevier
Source: International journal of production economics, 2013, v. 141, no. 1, p. 14-23 How to cite?
Journal: International journal of production economics 
Abstract: We consider a two-stage make-to-order production system characterized by limited production capacity and tight order due dates. We want to make joint decisions on order acceptance and scheduling to maximize the total net revenue. The problem is computationally intractable. In view of the fact that artificial bee colony algorithm has been shown to be an effective evolutionary algorithm to handle combinatorial optimization problems, we first conduct a pilot study of applying the basic artificial bee colony algorithm to treat our problem. Based on the results of the pilot study and the problem characteristics, we develop a modified artificial bee colony algorithm. The experimental results show that the modified artificial bee colony algorithm is able to generate good solutions for large-scale problem instances.
URI: http://hdl.handle.net/10397/11436
ISSN: 0925-5273
DOI: 10.1016/j.ijpe.2012.06.003
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