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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Veröffentlicht in:	International journal of computational intelligence systems Jg. 7; H. 4; S. 696 - 705
Hauptverfasser:	Zhou, Lei, Zhang, Guoshan, Li, Fachao
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Dordrecht Springer Netherlands 01.08.2014 Springer Nature B.V Springer
Schlagworte:	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-Zugang:	Volltext
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