Chance Constrained Programming
Chance-constrained programming with fuzzy stochastic coefficients
... linear programming problems with fuzzy random coefficients in the objective and ...possibilistic programming inside chance-constrained programming, they transform the fuzzy stochastic ...
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Slow Adaptive OFDMA Systems Through Chance Constrained Programming
... Through Chance Constrained Programming Abstract Adaptive orthogonal frequency division multiple Access (OFDMA) has recently been recognized as a promising Technique for providing high spectral ...
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Assisting decision-making in Queensland barley production through chance constrained programming
... A chance constrained programming model is developed to assist Queensland barley growers make varietal and agronomic decisions in the face of changing product demands and volatile production ...risk ...
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Low Probability Identification Performance In Radar Network System By Using Fuzzy Chance-Constrained Programming
... fuzzy chance-constrained programming (FCCP) based security information optimization scheme is presented to achieve enhanced LPID performance in radar network systems, which focuses on minimizing the ...
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A joint chance-constrained programming approach for call center workforce scheduling under uncertain call arrival forecasts
... individual chance-constrained programming formulation In what follows, we assume that the random variables representing the forecasting errors on the future call arrival rates are statistically ...
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Project selection problem under uncertainty: An application of utility theory and chance constrained programming to a real case Pages 373-385 Download PDF
... on chance constrained programming and utility theory for a certain range of problems and under some practical ...Utility Programming, as the proposed modeling approach, will be compared with ...
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A Unified Approach for Multiobjective Fuzzy Chance Constrained Programming with Joint Normal Distribution
... Abstract- This paper describes some mathematical techniques and modeling aspects for solving fuzzy multiobjective probabilistic decision making problems in which the constraints are jointly distributed and the right ...
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Gamma distribution approach in chance constrained stochastic programming model
... the chance-constrained programming problem into a deterministic ...a chance-constrained programming problem under the assumption that the random variables a ij are independent ...
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A Chance Constrained Integer Programming Model for Open Pit Long-Term Production Planning
... stochastic programming based model is developed by Gholamnejad, et al ...mathematical programming model for long-term production planning by applying chance constrained programming ...
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Multi Objective Chance Constrained Capacitated Transportation Problem based on Fuzzy Goal Programming
... stochastic programming, the parameters are described by random variables with known ...The chance constrained programming (CCP) was introduced by Charnes and Cooper in ...
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A robust approach to the chance-constrained knapsack problem
... to chance- constrained ...and chance-constrained programming are investigated for the specific case of the knapsack ...the chance-constrained knapsack ...a ...
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Chance Constrained Multi-Objective Linear Plus Linear Fractional Programming Problem Based on Taylor’s Series Approximation
... theory. Chance constrained programming (CCP) [25] is one of the most important one in stochastic ...the chance constraints into deterministic constraints by using known distribution ...
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A novel branch-and-bound algorithm for the chance-constrained RCPSP
... any chance-constrained programming (CCP) problem with discrete random right-hand side (rhs) vector provided that an exact solution oracle exists for the problem’s deterministic ...
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Trajectory Optimization for Chance-Constrained Nonlinear Stochastic Systems
... a chance-constrained SNOC ...quadratic chance constraints using tools taken from chance constrained programming [13], ...convex programming (SCP) [15], [16] for real-time ...
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Chance constrained compromise mixed allocation in multivariate stratified sampling
... ‘Chance Constrained Programming Technique’, that allows the cost constraint to be violated by a specified small ...a Chance Constrained Nonlinear Programming Problem in which the ...
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Chance-Constrained Optimization of Reliable Fixed Broadband Wireless Networks
... Keywords: fixed wireless networks; capacitated network design; network reliability; chance-constrained programming; integer programming. 1 Introduction Fixed point-to-point wireless ...
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Chance Constrained Approaches for Multiobjective Stochastic Linear Programming Problems
... linear programming is a relevant ...linear programming problems. These solutions that are based on the chance-constrained paradigm are characterized under the assumption of normality of ...
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Chance Constrained Linear Plus Linear Fractional Bi level Programming Problem
... goal programming approach to solve chance constrained linear plus linear fractional bi-level programming ...The chance constraints with right hand parameters as random variables of ...
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Chance-Constrained Efficiency Analysis
... Furthermore, extending the concept of Pareto and Koopmans efficiency to the case of chance-constrained dominance (to be defined), we establish the identity of the following two chance-[r] ...
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Chance Constrained Multi-objective Programming for Supplier Selection and Order Allocation under Uncertainty
... with chance constraints (or confidence level assigned to constraints), there must be deviation of demand, capacity and lead time from the real situation so that not only the purchasing cost is much larger than ...
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