The role of fuzzy sets in improving maximal covering location problem (MCLP)

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Назив:	The role of fuzzy sets in improving maximal covering location problem (MCLP)
Аутори:	Takači, Aleksandar Marić, Miroslav Drakulić, Darko
Датум издавања:	12-дец-2012
Издавач:	IEEE - Institute of Electrical and Electronics Engineers
Часопис:	2012 IEEE 10th Jubilee International Symposium on Intelligent Systems and Informatics, SISY 2012, Proceedings
Конференција:	10th Jubilee International Symposium on Intelligent Systems and Informatics, 20-22 Sept. 2012
Сажетак:	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. © 2012 IEEE.
URI:	https://open.uns.ac.rs/handle/123456789/11486
ISBN:	9781467347518
DOI:	10.1109/SISY.2012.6339496
Налази се у колекцијама:	TF Publikacije/Publications