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Issue:Generalized net models of the process of ant colony optimization with intuitionistic fuzzy estimations

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Title of paper: Generalized net models of the process of ant colony optimization with intuitionistic fuzzy estimations
Author(s):
Stefka Fidanova
IPP — Bulgarian Academy of Sciences, Acad. G. Bonchev Str., Bl. 25A, Sofia-1113, Bulgaria
stefka@parallel.bas.bg
Krassimir Atanassov
CLBME — Bulgarian Academy of Sciences, Acad. G. Bonchev Str., Bl. 105, Sofia-1113, Bulgaria
krat@bas.bg
Presented at: 9th IWGN, Sofia, 4 July 2008
Published in: Conference proceedings, pages 41—48
Download: Download-icon.png PDF (136  Kb, Info)
Abstract: Ant Colony Optimization has been used successfully to solve hard combinatorial optimization problems. This meta heuristic method is inspired by the foraging behavior of ant colonies, which manage to establish the shortest routes to feeding sources and back. In this paper a generalized net model of the process of ant colony optimization is constructed. The present model is the first one on this theme and it will be a basis of next authors research.
Keywords: Ant colony optimization, Generalized nets, Intuitionistic fuzzy sets
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