动态联盟中伙伴选择问题的区间规划模型及其求解

Abstract

Abstract: Partner selection and risk management are important decision problems in virtual enterprise.In some cases,failure probability cannot be given precisely,it is reasonable to denote this type of problem by uncertain programming.An interval programming model for partner selection is presented,in which members' failure probabilities are treated as interval coefficients.This model is transformed into equivalent bi-objective precise model by the definition of order relation between interval numbers and the theorem proved by Nakahara and Ishibuchi.A genetic algorithm with self-adaptive fitness function is proposed to find all Pareto solutions.Simulation results show that this approach is efficient.

Key words: partner selection, interval programming, bi-objective programming, genetic algorithm

CLC Number:

TP14

CAO Hong-yi. Interval Programming Model of Partner Selection Problem in Virtual Enterprise and Its Solution[J]. Chinese Journal of Management Science, 2006, (6): 86-91.

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Interval Programming Model of Partner Selection Problem in Virtual Enterprise and Its Solution

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