A Review Paper on Different Application of Genetic Algorithm for Mobile Ad-hoc Network (MANET)

Jinfa Shi, Misbah Habib, Hai Yan


A Genetic algorithm is a search algorithm depends on the methodology of natural selection and natural genetics. A Mobile Ad hoc network (MANET) is a type of wireless nodes (Devices) which are free to move anywhere in the network without any constraints. The nodes which are in range can communicate each other through radio waves and those who are not in range use any routing algorithm for communication. In this review paper, we focus on the problems of MANET that has been solved by applying GA for it and highlights the characteristic and challenges of MANET in the literature. More specifically, we present the summary of review papers and basic solutions that use and in the last, we present some future direction. Consequently, we concluded that modification in Fitness function (Evaluation function) according to the problem is the base of Genetic algorithm and variation in algorithm parameters can give solutions in a reasonable time.


Genetic Algorithm, fitness function, parameters, MANET

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International Journal of Online and Biomedical Engineering (iJOE) – eISSN: 2626-8493
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