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Stochastic Chance-Constrained Programming
2002As 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, 2010This 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, 2002zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Deterministic Solutions for a Class of Chance-Constrained Programming Problems
Operations Research, 1967It 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, 2009zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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A MCMC/Bernstein approach to chance constrained programs
2014 American Control Conference, 2014Zinan Zhao, Mrinal Kumar 0002
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Decision Problems Under Risk and Chance Constrained Programming: Dilemmas in the Transition
Management Science, 1981James G Morris
exaly
Chance constrained programming approaches to congestion in stochastic data envelopment analysis
European Journal of Operational Research, 2004Zhimin Huang +2 more
exaly

