Clarifying Cutting and Sewing Processes with Due Windows Using an Effective Ant Colony Optimization
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-03-31
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
The cutting and sewing process is a traditional flow shop scheduling problem in the real world.
This two-stage flexible flow shop is often commonly associated with manufacturing in the fashion and textiles industry.
Many investigations have demonstrated that the ant colony optimization (ACO) algorithm is effective and efficient for solving scheduling problems.
This work applies a novel effective ant colony optimization (EACO) algorithm to solve two-stage flexible flow shop scheduling problems and thereby minimize earliness, tardiness, and makespan.
Computational results reveal that for both small and large problems, EACO is more effective and robust than both the particle swarm optimization (PSO) algorithm and the ACO algorithm.
Importantly, this work demonstrates that EACO can solve complex scheduling problems in an acceptable period of time.
American Psychological Association (APA)
Huang, Rong-Hwa& Yu, Shun-Chi. 2013. Clarifying Cutting and Sewing Processes with Due Windows Using an Effective Ant Colony Optimization. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-12.
https://search.emarefa.net/detail/BIM-1008632
Modern Language Association (MLA)
Huang, Rong-Hwa& Yu, Shun-Chi. Clarifying Cutting and Sewing Processes with Due Windows Using an Effective Ant Colony Optimization. Mathematical Problems in Engineering No. 2013 (2013), pp.1-12.
https://search.emarefa.net/detail/BIM-1008632
American Medical Association (AMA)
Huang, Rong-Hwa& Yu, Shun-Chi. Clarifying Cutting and Sewing Processes with Due Windows Using an Effective Ant Colony Optimization. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-12.
https://search.emarefa.net/detail/BIM-1008632
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1008632