Stochastic simulation based genetic algorithm for chance constraint programming problems with some discrete random variables

A stochastic simulation based genetic algorithm (GA) is presented, in this paper, for solving chance constraint programming problems in which the random variables follow some discrete distributions. The feasibility of the chance constraints is checked by stochastic simulation. In general, the feasib...

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Vydané v:	International journal of computer mathematics Ročník 81; číslo 12; s. 1455 - 1463
Hlavní autori:	Jana, R. K., Biswal, M. P.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Taylor & Francis 01.12.2004
Predmet:	Chance constraint Discrete random variables Genetic algorithm Stochastic programming Stochastic simulation
ISSN:	0020-7160, 1029-0265
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