chance constrained program
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 ...
7
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. ...
6
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] ...
5
Gamma distribution approach in chance constrained stochastic programming model
... and chance-constraint linear goal ...a chance-constrained programming model for transmission system planning in the competitive electricity market ...credibility-based chance-con- strained ...
13
On The Fractional Minimal Cost Flow Problem of a Belief Degree Based Uncertain Network
... A fractional minimal cost flow problem under linear type belief degree based uncertainty is studied for the first time. This type of uncertainty is useful when no historical information of an uncertain event is ...
8
Data driven approaches to managing uncertain load control in sustainable power systems (project outputs)
... W ITH higher penetrations of renewable generation, un- certainties have increasing influence on power sys- tem operation and hence need to be carefully considered in scheduling problems, such as optimal power flow (OPF). ...
11
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 ...
12
Impacts of Exchange Rate Volatility and FDI on Technical Efficiency—A Case Study of Vietnamese Agricultural Sector
... the chance-constrained pro- gramming model would be used to estimate efficiency of the agricultural production ...the chance-constrained programming model to measure technical efficiency and ...
9
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 ...
12
Project Scheduling Problem with Uncertain Variables
... [1] [2] initially presented function relationship between project cost and activity duration times, and established a mathematical model of deterministic project scheduling problem with objective of minimizing the total ...
6
A Chance–Constrained Data Envelopment Analysis Approach to Problem Provincial Productivity Growth in Vietnamese Agriculture from 1995 to 2007
... a chance-constrained data envelopment analysis (CDEA) approach with two models (model A and model B) to decompose provincial productivity growth in Vietnamese agriculture from 1995 to 2007 into ...
19
Chance Constrained Multi-objective Programming for Supplier Selection and Order Allocation under Uncertainty
... is chance constrained programming. The problem of stochastic (chance-constrained) programming is defined as follows: select certain random variable as function of random variables with known ...
5
A Literature Review of Stochastic Programming and Unit Commitment
... In existing literatures, UC is defined both narrowly and broadly. Narrowly speaking, UC only serves to pinpoint the commitment status (on/off) of generators for a defined period. Then, economic dispatch (ED) is performed ...
9
Data driven approaches to managing uncertain load control in sustainable power systems (project outputs)
... • Chance–constrained optimal power flow with stochastic reserves • Exploring conventional solution approaches • Distributionally robust optimization DRO • Making DRO less conservative • [r] ...
35
Robust solutions to box constrained stochastic linear variational inequality problem
... box- constrained stochastic linear variational inequality ...quadratically constrained quadratic program (QCQP) or a convex program, which are all more tractable and can provide solutions for ...
15
An Optimization-Simulation Approach to Chance Constraint Programming
... heuristic 1, and scenarios are generated between these two cases. For each scenario there is an indi- cation what the new deterministic equivalent is set to, and the following row presents the probability of satisfying ...
11
On the heterogeneous vehicle routing problem under demand uncertainty
... Abstract In this paper we study the heterogeneous vehicle routing prob- lem under demand uncertainty, on which there has been little research to our knowledge. The focus of the paper is to provide a strong formulation ...
26
Building Communities: Begins in the Early Years with Early Childhood Services and Professional Teachers
... New Chance and the Comprehensive Child Development Program in the US are initiatives, which have focused on the whole family and their multiple needs for ...
14
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 ...
8
Data driven approaches to managing uncertain load control in sustainable power systems (project outputs)
... We also explore the performance of the approaches under congestion. Specifically, we decrease the line flow limit of the transmission line between Buses 5 and 6 from 150 to 40 MW, resulting in congestion on multiple ...
11