Stochastic Simulation Based GA Approach to Solve Chance Constrained Bilevel Programming Problems in Inexact Environment

被引：0
|
作者：
Chakraborti, Debjani [1 ]
Pal, Bijay Baran [2 ]
机构：
[1] Narula Inst Technol, Dept Math, Kolkata 700109, WB, India
[2] Univ Kalyani, Dept Math, Kalyani 741235, W Bengal, India
来源：
INFORMATION SYSTEMS DESIGN AND INTELLIGENT APPLICATIONS, VOL 1 | 2015年 / 339卷
关键词：
Chance constrained programming; Stochastic simulation; Fuzzy goal programming; Bilevel programming; Genetic algorithm;
D O I：
10.1007/978-81-322-2250-7_64
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This article presents how the genetic algorithm (GA) based stochastic simulation can be used for solving fuzzy goal programming (FGP) model of a chance constrained bilevel programming problem (BLPP). A numerical example is solved to illustrate the proposed approach.
引用
收藏
页码：637 / 648
页数：12
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