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Study on two-stage uncertain programming based on uncertainty theory
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نویسنده
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Zheng Mingfa ,Yi Yuan ,Wang Zutong ,Chen Jeng-Fung
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منبع
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journal of intelligent manufacturing - 2017 - دوره : 28 - شماره : 3 - صفحه:633 -642
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چکیده
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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.
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کلیدواژه
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Uncertainty theory ,Two-stage uncertain programming ,Convexity ,Artificial bee colony algorithm
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آدرس
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Xi’an Jiaotong University, China, Xi’an Jiaotong University, China, Air Force Engineering University, China, Feng Chia University, Department of Industrial Engineering and Systems Management, Taiwan
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Authors
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