Consideration of Genetic Algorithm with Virus Infection solving Traveling Salesman Problem
نویسندگان
چکیده
Genetic Algorithm (GA) is known as method to solve Traveling Salesman Problem (TSP). However, GA needs amount of time for finding approximate solution. Thus, this study proposes Genetic Algorithm with Virus Infection (GAVI). GAVI algorithm is using Virus Theory of Evolution (VTE) to be based on Genetic Algorithm (GA). GA can evolve by natural selection, while VTE can evolve by virus infection. GA characteristic convey informations to next generation by crossover. On the other hand, VTE characteristic has sharing of information among same generation. GAVI is using both these characteristics of GA and VTE. We apply GAVI to TSP and confirm that GAVI obtains more effective result than GA.
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