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Journal of Intelligent Manufacturing
Erschienen in: Journal of Intelligent Manufacturing 3/2017

04.12.2014

Study on two-stage uncertain programming based on uncertainty theory

verfasst von: Mingfa Zheng, Yuan Yi, Zutong Wang, Jeng-Fung Chen

Erschienen in: Journal of Intelligent Manufacturing | Ausgabe 3/2017

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Abstract

In this paper, based on uncertainty theory, we first present a new class of two-stage uncertain programming model and give its deterministic equivalent programming problem. Then some fundamental properties of the two-stage uncertain programming problem, including the convexity of feasible set as well as objective function, are investigated. In addition, a solution method by employing an efficiently heuristic algorithm, called artificial bee colony algorithm, is applied to solve the two-stage uncertain programming problem. Finally, some numerical examples are provided to illustrate the novel method introduced in this paper.
Vorheriger Artikel Uncertain programming model for uncertain minimum weight vertex covering problem
Nächster Artikel The impact of decision criteria on deadline-based incentive contracts in project management

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Metadaten
Titel
Study on two-stage uncertain programming based on uncertainty theory
verfasst von
Mingfa Zheng
Yuan Yi
Zutong Wang
Jeng-Fung Chen
Publikationsdatum
04.12.2014
Verlag
Springer US
Erschienen in
Journal of Intelligent Manufacturing / Ausgabe 3/2017
Print ISSN: 0956-5515
Elektronische ISSN: 1572-8145
DOI
https://doi.org/10.1007/s10845-014-1012-6

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