MODELING LOCATION-ALLOCATION PROBLEM BY TWO-STAGE FUZZY PROGRAMMING

被引：1

作者：

Shen, Si-Yuan ^{[1
]}

Liu, Yan-Kui ^{[1
]}

Bai, Xue-Jie ^{[2
]}

机构：

[1] Hebei Univ, Coll Math & Comp Sci, Baoding 071002, Peoples R China

[2] Agr Univ Hebei, Coll Sci, Baoding 071001, Peoples R China

来源：

PROCEEDINGS OF 2009 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-6 | 2009年

关键词：

Two-stage fuzzy programming; location-allocation problem; approximation method; particle swarm optimization; APPROXIMATION; SELECTION;

D O I：

10.1109/ICMLC.2009.5212385

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper first deduces expected value formulas for fuzzy variables. After that, we present a new class of fuzzy two-stage location-allocation problems. To solve the two-stage location-allocation problem, this paper designs a hybrid algorithm which integrates the approximation method and particle swarm optimization (PSO) algorithm. Finally, an application example is considered to demonstrate the proposed optimization method.

引用

页码：722 / +

页数：2

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