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Assessing the Performance of Two Bioinspired Algorithms to Solve Single-Row Layout Problem
Author
Source
International Journal of Manufacturing Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-12-19
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Engineering Sciences and Information Technology
Abstract EN
The single-row layout problem (SRLP), also known as the one-dimensional layout problem, deals with arranging a number of rectangular machines/departments with equal or varying dimensions on a straight line.
Since the problem is proved to be NP-hard, there are several heuristics developed to solve the problem.
This study introduces both a Clonal Selection Algorithm (CSA) and a Bacterial Foraging Algorithm (BFA) for SRLP.
The performance of the algorithms is assessed by using three (small, medium, and large sized) well known test problems available in the literature.
The promising results illustrated that both algorithms had generated the best known solutions so far for most of the problems or provided better results for a number of problems.
American Psychological Association (APA)
Ulutas, Berna Haktanirlar. 2013. Assessing the Performance of Two Bioinspired Algorithms to Solve Single-Row Layout Problem. International Journal of Manufacturing Engineering،Vol. 2013, no. 2013, pp.1-11.
https://search.emarefa.net/detail/BIM-458776
Modern Language Association (MLA)
Ulutas, Berna Haktanirlar. Assessing the Performance of Two Bioinspired Algorithms to Solve Single-Row Layout Problem. International Journal of Manufacturing Engineering No. 2013 (2013), pp.1-11.
https://search.emarefa.net/detail/BIM-458776
American Medical Association (AMA)
Ulutas, Berna Haktanirlar. Assessing the Performance of Two Bioinspired Algorithms to Solve Single-Row Layout Problem. International Journal of Manufacturing Engineering. 2013. Vol. 2013, no. 2013, pp.1-11.
https://search.emarefa.net/detail/BIM-458776
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-458776