A Synthesizing Effect-Based Solution Method for Stochastic Rough Multi-objective Programming Problems

Multi-objective programming with uncertain information has been widely applied in modeling of industrial produce and logistic distribution problems. Usually the expectation value model and chance-constrained model as solution models are used to deal with such uncertain programming. In this paper, we...

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Bibliographic Details

Published in:	International journal of computational intelligence systems Vol. 7; no. 4; pp. 696 - 705
Main Authors:	Zhou, Lei, Zhang, Guoshan, Li, Fachao
Format:	Journal Article
Language:	English
Published:	Dordrecht Springer Netherlands 01.08.2014 Springer Nature B.V Springer
Subjects:	Genetic algorithm Genetic algorithms Mathematical programming Multi-objective Programming Random rough variable Research Article Stochastic Programming Synthesis Synthesis effect Multi-objective Programming Random rough variable Synthesis effect Stochastic Programming Genetic algorithm
ISSN:	1875-6891, 1875-6883, 1875-6883
Online Access:	Get full text
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