Study of Genetic Algorithms
Abstract: 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.
Keywords: Genetic Algorithm GA, selection, crossover, mutation and Quality of Services QoS
How to Cite?: Sukhveer Kaur, Vinay Bhardwaj, "Study of Genetic Algorithms", Volume 3 Issue 8, August 2014, International Journal of Science and Research (IJSR), Pages: 1260-1263, https://www.ijsr.net/getabstract.php?paperid=2015664, DOI: https://dx.doi.org/10.21275/2015664