Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/59218
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Type: Book chapter
Title: Global optimization in supply chain operations
Author: Ibrahimov, M.
Mohais, A.
Michalewicz, Z.
Citation: Natural intelligence for scheduling, planning and packing problems, 2009 / Chiong, R., Dhakal, S. (ed./s), vol.250, pp.1-24
Publisher: Springer
Publisher Place: Heidelberg, Germany
Issue Date: 2009
Series/Report no.: Studies in Computational Intelligence ; 250
ISBN: 9783642040382
Editor: Chiong, R.
Dhakal, S.
Statement of
Responsibility: 
Maksud Ibrahimov, Arvind Mohais and Zbigniew Michalewicz
Abstract: This chapter discusses some optimization issues from a business perspective in the context of the supply chain operations. We note that the term “global optimization” may have different meanings in different communities and we look at it from the business and classical optimization points of view. We present two real-world optimization problems which differ in scope and use them for our discussion on global optimization issues. The differences between these two problems, experimental results, the main challenges they present and the algorithms used are discussed. Here, we claim neither uniqueness nor superiority of the algorithms used, rather the main goal of this chapter is to emphasize the importance of the global optimization concept.
Rights: Copyright Springer-Verlag Berlin Heidelberg 2009
DOI: 10.1007/978-3-642-04039-9_1
Published version: https://doi.org/10.1007/978-3-642-04039-9
Appears in Collections:Aurora harvest 5
Computer Science publications

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