Virus Transmission Genetic Algorithm

摘要

In this paper we propose a novel Virus Transmission Genetic Algorithm, which is inspired by the evolution of immune defense and the infection transmission model. Containing one virus population and one host population, the VTGA simulates biological infections by using new operators such as virus infection and virus spread. To study the effectiveness, we apply the algorithm to several function optimization problems, several travelling salesman problems and a forest planning problem. Results of the experiments show that the VTGA performs well at searching for optimal solutions and preserving diversity of population.