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A sampling-based method for generating nondominated solutions in stochastic MOMP problems
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DOI：10.1016/S0377-2217(99)00318-5.png)
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This paper presents a method for generating nondominated solutions for stochastic multiobjective mathematical programming problems which is applicable to both continuous and zero-one variables. The method is based on the assumption that the objective function coefficients are random variables with probability distributions that are known or can be approximated. The method results ill solutions that are nondominated in terms of the expected value of each objective and the probability that each objective meets or exceeds a specified target value. A method for generating a set of such solutions is presented and illustrated with examples. The paper also discusses computational matters. (C) 2000 Elsevier Science B.V. All rights reserved.
Keyword:
mathematical programming
multicriteria analysis
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6
论文数:
2.2W
被引数:
6.4W
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