Improving performance of ACO algorithms using crossover mechanism based on mean of pheromone tables

dc.contributor.author	Gokalp, O.
dc.contributor.author	Ugur, A.
dc.date.accessioned	2021-01-25T20:50:58Z
dc.date.available	2021-01-25T20:50:58Z
dc.date.issued	2012
dc.identifier	10.1109/INISTA.2012.6247022
dc.identifier.uri	https://www.scopus.com/inward/record.uri?eid=2-s2.0-84866612181&doi=10.1109%2fINISTA.2012.6247022&partnerID=40&md5=6e219d127b1e06ee0c2f2305aafac99c
dc.identifier.uri	https://dspace.yasar.edu.tr/xmlui/handle/20.500.12742/10562
dc.description.abstract	Ant Colony Optimization (ACO) Algorithms have been used to solve many optimization problems in various fields and several algorithms have been proposed based on ACO metaheuristic in the literature. This paper proposes a simple crossover mechanism based on
dc.language.iso	English
dc.publisher	INISTA 2012 - International Symposium on INnovations in Intelligent SysTems and Applications
dc.title	Improving performance of ACO algorithms using crossover mechanism based on mean of pheromone tables
dc.type	Conference Paper
dc.description.affiliations	Department of Software Engineering, Yasar University, Izmir, Turkey; Department of Computer Engineering, Ege University, Izmir, Turkey

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