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Optimization
A Journal of Mathematical Programming and Operations Research
Volume 66, 2017 - Issue 10
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Articles

Multi-choice programming: an overview of theories and applications

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Pages 1713-1738 | Received 26 Oct 2016, Accepted 02 Jun 2017, Published online: 03 Jul 2017
 

Abstract

This paper presents an exhaustive literature review on theories and applications in the field of multi-choice programming (MCP). The increasing competition in the business world has given rise to the situations where decision-makers are offered with multiple options/information to optimally decide on a single task. Under such circumstances a number of decision-making problems are falling into the scenario of MCPs. Thus, ever-increasing applicability of the MCPs is making more and more Operations Research practitioners to focus on them. This paper analyses all the related work and presents the same by classifying the research problems into two broad categories: theories and applications. As an aid to assist future researchers and practitioners, key insights on the evolution of various variants of MCPs have also been systematically delineated. The paper also throws light on some research gaps and concludes with the scope of future research in this area.

Acknowledgements

We are thankful to Mr. Ankit Khandelwal, Director, Analytics and Optimization Solutions, FICO, Singapore for his painstaking efforts to provide valuable comments and suggestions. We are also grateful to the anonymous reviewers for their invaluable suggestions and feedback that helped us to enhance our work.

Notes

No potential conflict of interest was reported by the authors.

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