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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.

New trends in parallel and distributed evolutionary computing

Seredyński F.

Fundamenta Informaticae

1998

Vol. 35, nr 1-4

211-230

The paper overviews existing models and new tendencies observed in the current literature concerning parallel and distributed evolutionary computation. Sources of parallelism, ways of exploring it and forms of a distributed control of execution of parallel evolutionary algorithms are discussed. Some taxonomy of parallel and distributed computation is proposed. The most known or promising computational schemes are overviewed.