


Volume 20 No 22 (2022)
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Implementation and Analysis for Efficient Selection of Fitness in Genetic Algorithm for Mobile Ad-hoc Networks
Dr N Shyam Sunder Sagar
Abstract
The objective of this paper is to provide an introduction to genetic algorithm and its basic functionality. The basic
operations involved in genetic algorithm are selection, crossover and mutation. It evolves around Darwin’s theory which
states that “survival of the fittest”. Fitness refers not only to an organism’s strength or athletic ability, but rather the
ability to survive and reproduce. Efficient methods for fitness selections while route selection process is reviewed based
on the strategies for shortest path methods. Comparative analysis and the best fit implementations are suggested for
Adhoc Networks which do not have any fixed architecture
Keywords
Genetic algorithm, RIGA, MEGA, MRIGA, selection, crossover, mutation
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