Ecological Model of Virus-Evolutionary Genetic Algorithm

Authors:
Naoyuki Kubota;Toshio Fukuda
Affiliations:
(Correspd.) Department of Mechanical Engineering, Osaka Institute of Technology, 5-16-1 Omiya, Asahi-ku, Osaka 535, Japan;(Correspd.) Center for Cooperative Research in Advanced Science and Technology, Nagoya University, 1 Furo-cho, Chikusa-ku, Nagoya 464-01, Japan
Venue:
Fundamenta Informaticae
Year:
1999

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Abstract

This paper deals with an ecological model on planar gird of a genetic algorithm based on virus theory of evolution (E-VE-GA). In the E-VE-GA, each individual is placed on a planar 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 reverse transcription and incorporation transmitting local genetic information. The convergence of the E-VE-GA depends on the frequency and localization of the virus infection. In this paper, we apply the E-VE-GA to traveling salesman problems and discuss the coevolution of host and virus populations through the numerical simulation.