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Research Paper | Computer Science & Engineering | India | Volume 3 Issue 8, August 2014 | Popularity: 6.2 / 10

Study of Genetic Algorithms

Sukhveer Kaur, Vinay Bhardwaj

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

Edition: Volume 3 Issue 8, August 2014

Pages: 1260 - 1263

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Sukhveer Kaur, Vinay Bhardwaj, "Study of Genetic Algorithms", International Journal of Science and Research (IJSR), Volume 3 Issue 8, August 2014, pp. 1260-1263, URL: https://www.ijsr.net/getabstract.php?paperid=2015664, DOI: https://www.doi.org/10.21275/2015664

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