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Diversity Controlling Genetic Algorithm for Order Acceptance and Scheduling Problem
Joint Authors
He, Renjie
Yang, Zhenyu
Tan, Yuejin
Chen, Cheng
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-02-23
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Selection and scheduling are an important topic in production systems.
To tackle the order acceptance and scheduling problem on a single machine with release dates, tardiness penalty, and sequence-dependent setup times, in this paper a diversity controlling genetic algorithm (DCGA) is proposed, in which a diversified population is maintained during the whole search process through survival selection considering both the fitness and the diversity of individuals.
To measure the similarity between individuals, a modified Hamming distance without considering the unaccepted orders in the chromosome is adopted.
The proposed DCGA was validated on 1500 benchmark instances with up to 100 orders.
Compared with the state-of-the-art algorithms, the experimental results show that DCGA improves the solution quality obtained significantly, in terms of the deviation from upper bound.
American Psychological Association (APA)
Chen, Cheng& Yang, Zhenyu& Tan, Yuejin& He, Renjie. 2014. Diversity Controlling Genetic Algorithm for Order Acceptance and Scheduling Problem. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-466321
Modern Language Association (MLA)
Chen, Cheng…[et al.]. Diversity Controlling Genetic Algorithm for Order Acceptance and Scheduling Problem. Mathematical Problems in Engineering No. 2014 (2014), pp.1-11.
https://search.emarefa.net/detail/BIM-466321
American Medical Association (AMA)
Chen, Cheng& Yang, Zhenyu& Tan, Yuejin& He, Renjie. Diversity Controlling Genetic Algorithm for Order Acceptance and Scheduling Problem. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-466321
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-466321