Stochastic simulation based genetic algorithm for chance constraint programming problems with some discrete random variables

2004 ◽  
Vol 81 (12) ◽  
pp. 1455-1463 ◽  
Author(s):  
R. K. Jana * ◽  
M. P. Biswal
Keyword(s):  
Genetic Algorithm ◽  
Stochastic Simulation ◽  
Constraint Programming ◽  
Random Variables ◽  
Chance Constraint ◽  
Discrete Random Variables ◽  
Simulation Based ◽  
Chance Constraint Programming

scholarly journals REGIONAL ENERGY SUPPLY PLANNING: CHANCE CONSTRAINT PROGRAMMING

2019 ◽  
Vol 9 (5) ◽  
pp. 433-441
Author(s):  
Alimorad Sharifi ◽  
Nasim Mansouri ◽  
Babak Saffari ◽  
Shahram Moeeni
Keyword(s):  
Constraint Programming ◽  
Energy Supply ◽  
Chance Constraint ◽  
Regional Energy ◽  
Chance Constraint Programming ◽  
Supply Planning

Robust Fuzzy chance constraint programming for multi-item EOQ model with random disruption and partial backordering under uncertainty

2019 ◽  
Vol 36 (5) ◽  
pp. 276-285 ◽  
Author(s):  
Soheyl Khalilpourazari ◽  
Shima Teimoori ◽  
Abolfazl Mirzazadeh ◽  
Seyed Hamid Reza Pasandideh ◽  
Nasim Ghanbar Tehrani
Keyword(s):  
Constraint Programming ◽  
Chance Constraint ◽  
Eoq Model ◽  
Partial Backordering ◽  
Chance Constraint Programming

Research on Mixed Intelligent Arithmetic of Reuse Reverse Logistics Centers' Location Model

2014 ◽  
Vol 945-949 ◽  
pp. 3246-3251 ◽  
Author(s):  
Lu Feng Dai ◽  
Xi Fu Wang
Keyword(s):  
Genetic Algorithm ◽  
Linear Programming ◽  
Stochastic Simulation ◽  
Reverse Logistics ◽  
Random Variables ◽  
Location Model ◽  
Logistics Center ◽  
Center Location

The paper builds the model of direct reuse reverse logistics center location followed by the uncertainty random variables of the demand of retailers and the recovery of collection points. This model assumes that the enterprises are expanding on the traditional network. For the random variables, they will be solved by using stochastic simulation, genetic algorithm and linear programming, and numericai exampie is presented.

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