DocumentCode
3648948
Title
The role of fuzzy sets in improving maximal covering location problem (MCLP)
Author
Aleksandar Takači;Miroslav Marić;Darko Drakulić
Author_Institution
Faculty of Technology, University of Novi Sad, Serbia
fYear
2012
Firstpage
103
Lastpage
106
Abstract
In this paper an extension of fuzzy maximal covering location time problem (FMCLP) is presented. The travel times are considered to be linear, trapezoidal or Gaussian fuzzy numbers and the radius is considered to be a fuzzy set of a right shoulder type. For obtaining the distance a fuzzy ordering relation was used to compare distances to the radius. In order to solve the FMCLP problem we used discrete particle swarm optimization (DPSO) algorithm. Theoretical results show that the proposed DPSO algorithm is very competitive for FMCLP problem.
Keywords
"Fuzzy sets","Particle swarm optimization","Mathematical model","Sociology","Statistics","Educational institutions","Optimization"
Publisher
ieee
Conference_Titel
Intelligent Systems and Informatics (SISY), 2012 IEEE 10th Jubilee International Symposium on
Print_ISBN
978-1-4673-4751-8
Type
conf
DOI
10.1109/SISY.2012.6339496
Filename
6339496
Link To Document