Study of Genetic Algorithms

Genetic Algorithms is a search heuristic which generate solutions to optimization problems using techniques inspired by natural evolution, such as inheritance, mutation, selection, and crossover. Many modifications have been suggested towards the improvement in Genetic Algorithms to meet QoS challenges through focusing on Average Throughput, Packet delivery ratio, Packet loss, energy and mechanism overheads. Various Optimization problems have been discussed. The aim of this paper is to facilitate future researches such that several proposed modifications in genetic algorithms can be probed quickly.