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Stochastic Chance-Constrained Programming

2002
As the second type of stochastic programming developed by Charnes and Cooper [41], chance-constrained programming (CCP) offers a powerful means of modeling stochastic decision systems with assumption that the stochastic constraints will hold at least a of time, where a is referred to as the confidence level provided as an appropriate safety margin by ...
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On mixing sets arising in chance-constrained programming

Mathematical Programming, 2010
This article considers chance-constrained, mixed-integer programming problems with knapsack constraints. The first section outlines the background to this problem including the practical applications, survey of the literature and preliminary definitions of chance-constrained problems.
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Redefining chance-constrained programming in fuzzy environment

Fuzzy Sets and Systems, 2002
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Deterministic Solutions for a Class of Chance-Constrained Programming Problems

Operations Research, 1967
It is desired to select a deterministic decision vector x to maximize a function Z(x) subject to one or more independent probability constraints of the form Pr[y(x) ≦ 0] ≧ α, where y(x) is a random vector for each given vector x, and α is a given probability.
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A Chance Constrained Approach to Fractional Programming with Random Numerator

Journal of Mathematical Modelling and Algorithms, 2009
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Chance-constrained programming

2001
Saul I. Gass, Carl M. Harris
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A MCMC/Bernstein approach to chance constrained programs

2014 American Control Conference, 2014
Zinan Zhao, Mrinal Kumar 0002
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Chance constrained programming approaches to congestion in stochastic data envelopment analysis

European Journal of Operational Research, 2004
Zhimin Huang   +2 more
exaly  

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