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Ecological model of Virus-Evolutionary Genetic Algorithm

Kubota N., Fukuda T.

Fundamenta Informaticae

1999

Vol. 37, Nr 1,2

51-70

This paper deals with an ecological model on planer gird of a genetic algorithm based on vi-rus theory of evolution (E-VE-GA). In the E-VE-GA, each individual is placed on a planer grid and genetic operators are performed between neighborhoods. The E-VE-GA can self-adaptively change searching ratio between global and local searches. The main operator of the E-VE-GA is reserve transcription and incorporation transmitting local genetic information. The convergence of the E-VE-GA depends on the frequency and localization of the virus in-fection. In this paper, we apply the E-VA-GA to traveling salesman problems and discuss the coevolution of host and virus populations through the numerical simulation.