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The Improved Ant Colony Optimization Algorithm for MLP considering the Advantage from Relationship
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-07-31
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
An improved ant colony optimization (ACO) is presented to solve the machine layout problem (MLP), and the concept is categorized as follows: firstly, an ideology on “advantage from quantity” and “advantage from relationship” is proposed and an example is demonstrated.
In addition, the strategy of attached variables under local polar coordinate systems is employed to maintain search efficiency, that is, “advantage from relationship”; thus, a mathematical model is formulated under a single rectangular coordinate system in which the relative distance and azimuth between machines are taken as attached design variables.
Further, the aforementioned strategies are adopted into the ant colony optimization (ACO) algorithm, thereby employing the inverse feedback mechanism for dissemination of pheromone and the positive feedback mechanism for pheromone concentration.
Finally, the effectiveness of the proposed improved ACO is tested through comparative experiments, in which the results have shown both the reliability of convergence and the improvement in optimization degree of solutions.
American Psychological Association (APA)
Luo, Yabo& Waden, Yongo P.. 2017. The Improved Ant Colony Optimization Algorithm for MLP considering the Advantage from Relationship. Mathematical Problems in Engineering،Vol. 2017, no. 2017, pp.1-11.
https://search.emarefa.net/detail/BIM-1190290
Modern Language Association (MLA)
Luo, Yabo& Waden, Yongo P.. The Improved Ant Colony Optimization Algorithm for MLP considering the Advantage from Relationship. Mathematical Problems in Engineering No. 2017 (2017), pp.1-11.
https://search.emarefa.net/detail/BIM-1190290
American Medical Association (AMA)
Luo, Yabo& Waden, Yongo P.. The Improved Ant Colony Optimization Algorithm for MLP considering the Advantage from Relationship. Mathematical Problems in Engineering. 2017. Vol. 2017, no. 2017, pp.1-11.
https://search.emarefa.net/detail/BIM-1190290
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1190290