Full Glowworm Swarm Optimization Algorithm for Whole-Set Orders Scheduling in Single Machine
Joint Authors
Source
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-10-31
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
By analyzing the characteristics of whole-set orders problem and combining the theory of glowworm swarm optimization, a new glowworm swarm optimization algorithm for scheduling is proposed.
A new hybrid-encoding schema combining with two-dimensional encoding and random-key encoding is given.
In order to enhance the capability of optimal searching and speed up the convergence rate, the dynamical changed step strategy is integrated into this algorithm.
Furthermore, experimental results prove its feasibility and efficiency.
American Psychological Association (APA)
Yu, Zhang& Yang, Xiaomei. 2013. Full Glowworm Swarm Optimization Algorithm for Whole-Set Orders Scheduling in Single Machine. The Scientific World Journal،Vol. 2013, no. 2013, pp.1-6.
https://search.emarefa.net/detail/BIM-1012681
Modern Language Association (MLA)
Yu, Zhang& Yang, Xiaomei. Full Glowworm Swarm Optimization Algorithm for Whole-Set Orders Scheduling in Single Machine. The Scientific World Journal No. 2013 (2013), pp.1-6.
https://search.emarefa.net/detail/BIM-1012681
American Medical Association (AMA)
Yu, Zhang& Yang, Xiaomei. Full Glowworm Swarm Optimization Algorithm for Whole-Set Orders Scheduling in Single Machine. The Scientific World Journal. 2013. Vol. 2013, no. 2013, pp.1-6.
https://search.emarefa.net/detail/BIM-1012681
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1012681