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Multiple warehouses scheduling using steady state genetic algorithms
Joint Authors
Atum, Jalal Yusuf
al-Rababiah, Mamun S.
Source
The International Arab Journal of Information Technology
Issue
Vol. 7, Issue 3 (31 Jul. 2010), pp.310-316, 7 p.
Publisher
Publication Date
2010-07-31
Country of Publication
Jordan
No. of Pages
7
Main Subjects
Information Technology and Computer Science
Topics
Abstract EN
Warehouses scheduling is the problem of sequencing requests of products to fulfill several customers’ orders so as to minimize the average time and shipping costs.
In this paper, a solution to the problem of multiple warehouses scheduling using the steady state genetic algorithm is presented.
A mathematical model that organizes the relationships between customers and warehouses is also presented in this paper.
Two scenarios of storage capacities (constants and varying capacities) and two strategies of search points (ideal point and random points) are compared.
An analysis of the results indicates that multiple warehouses scheduling using the GENITOR approach with different warehouses capacities have better outcome than the usage of the traditional genetic algorithms).
American Psychological Association (APA)
Atum, Jalal Yusuf& al-Rababiah, Mamun S.. 2010. Multiple warehouses scheduling using steady state genetic algorithms. The International Arab Journal of Information Technology،Vol. 7, no. 3, pp.310-316.
https://search.emarefa.net/detail/BIM-109083
Modern Language Association (MLA)
Atum, Jalal Yusuf& al-Rababiah, Mamun S.. Multiple warehouses scheduling using steady state genetic algorithms. The International Arab Journal of Information Technology Vol. 7, no. 3 (Jul. 2010), pp.310-316.
https://search.emarefa.net/detail/BIM-109083
American Medical Association (AMA)
Atum, Jalal Yusuf& al-Rababiah, Mamun S.. Multiple warehouses scheduling using steady state genetic algorithms. The International Arab Journal of Information Technology. 2010. Vol. 7, no. 3, pp.310-316.
https://search.emarefa.net/detail/BIM-109083
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 315-316
Record ID
BIM-109083