Chance-Constrained
Multi Objective Fuzzy Chance Constrained Fuzzy Goal Programming for Capacitated Transportation Problem
... This paper presents fuzzy chance constrained fuzzy goal programming and its application for solving CCMOCTP with fuzzy mean, fuzzy variance and fuzzy confidence level. Further, fuzzy parameters are ...
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A Unified Approach for Multiobjective Fuzzy Chance Constrained Programming with Joint Normal Distribution
... To apply theories and methods of LP [1] it is required that the coefficients and relationship is completely known. In real life situation, if one wants to become more realistic then this assumption may not be fulfilled. ...
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TOPSIS APPROACH TO CHANCE CONSTRAINED MULTI - OBJECTIVE MULTI- LEVEL QUADRATIC PROGRAMMING PROBLEM
... This paper presents TOPSIS approach to solve chance constrained multi – objective multi – level quadratic programming problem. The proposed approach actually combines TOPSIS and fuzzy goal programming. In ...
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A Chance Constrained Integer Programming Model for Open Pit Long-Term Production Planning
... decisions are known, these may be considered as a penalization for constraint violation. In this method the stochastic constraints have to be surely held, i.e., they are to be satisfied with probability of one [21]. In ...
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Multi Objective Chance Constrained Capacitated Transportation Problem based on Fuzzy Goal Programming
... Keywords Fuzzy Goal Programming, Chance Constrained Programming, Transportation Problem, Capacitated Transportation Problem, Randomness, Membership function, Multi objective decision mak[r] ...
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Multi-objective chance constrained transportation problem with fuzzy parameters
... paper, chance constrained multi-objective transportation problem with fuzzy parameters is ...multi-objective chance constrained transportation problem with fuzzy ...for chance ...
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Chance Constrained Linear Plus Linear Fractional Bi level Programming Problem
... solve chance constrained linear plus linear fractional bi-level programming ...The chance constraints with right hand parameters as random variables of prescribed probability distribution functions ...
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Chance Constrained Multi-objective Programming for Supplier Selection and Order Allocation under Uncertainty
... a chance constrained goal programming method to help solve the multi-objective supplier selection problem with uncertain ...with chance constrained goal programming under ...
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A novel robust chance constrained possibilistic programming model for disaster relief logistics under uncertainty Pages 649-670 Download PDF
... To the best of our knowledge, it is the first time in relief facility location literature, that the chance constrained possibilistic programming method is applied and uncertainty of su[r] ...
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Chance Constrained Approaches for Multiobjective Stochastic Linear Programming Problems
... Multiple objective stochastic linear programming is a relevant topic. As a matter of fact, many practical problems rang- ing from portfolio selection to water resource management may be cast into this framework. Severe ...
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A Chance–Constrained Data Envelopment Analysis Approach to Problem Provincial Productivity Growth in Vietnamese Agriculture from 1995 to 2007
... the chance-constrained programming mod- ...basic chance-con- strained programming model to estimate productive effi- ciency in the case of stochastic inputs and ...developed ...
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Chance Constrained Multi-Objective Linear Plus Linear Fractional Programming Problem Based on Taylor’s Series Approximation
... In this paper, chance constrained multi-objective linear plus linear fractional programming problem with random variables is presented. To transform the fractional objectives into linear forms first order ...
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The Minmax Multidimensional Knapsack Problem with Application to a Chance Constrained Problem
... two-level, chance-constrained problem with ...the chance-constrained optimization problem is decomposable into a series of MKPs that are solved ...
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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 per unit ...
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Gamma distribution approach in chance constrained stochastic programming model
... A chance-constrained stochastic programming (CCSP) models is one of the major approaches for dealing with random parameters in the optimization ...of chance-constraint programming ...presented ...
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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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On the heterogeneous vehicle routing problem under demand uncertainty
... After setting up the robust counterparts, we need to define the parameter Γ for each constraint. On the one hand, Γ controls the degree of conservatism of the robust solution, that is guaranteed to be feasible up to Γ ...
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Vol 3, No 6 (2012)
... D ata envelopment analysis (DEA) is non-parametric method for evaluating the efficiency of the decision making units (DMUs) using mathematical programming. The models which exist are just for evaluating the performance ...
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Data driven approaches to managing uncertain load control in sustainable power systems (project outputs)
... multi-period chance constrained optimal power flow model to schedule generation and reserves from both generators and aggregations of controllable electric ...
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Project Scheduling Problem with Uncertain Variables
... uncertain chance-constrained model and uncertain maximization chance-constrained model are established to meet different management re- quirements, and then they are extended to ...
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