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Analysis of Selection Schemes for Solving an Optimization Problem in Genetic Algorithm

by Poonam Sharma, Amit Wadhwa, Komal
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 93 - Number 11
Year of Publication: 2014
Authors: Poonam Sharma, Amit Wadhwa, Komal
10.5120/16256-5714

Poonam Sharma, Amit Wadhwa, Komal . Analysis of Selection Schemes for Solving an Optimization Problem in Genetic Algorithm. International Journal of Computer Applications. 93, 11 ( May 2014), 1-3. DOI=10.5120/16256-5714

@article{ 10.5120/16256-5714,
author = { Poonam Sharma, Amit Wadhwa, Komal },
title = { Analysis of Selection Schemes for Solving an Optimization Problem in Genetic Algorithm },
journal = { International Journal of Computer Applications },
issue_date = { May 2014 },
volume = { 93 },
number = { 11 },
month = { May },
year = { 2014 },
issn = { 0975-8887 },
pages = { 1-3 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume93/number11/16256-5714/ },
doi = { 10.5120/16256-5714 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:16:22.539956+05:30
%A Poonam Sharma
%A Amit Wadhwa
%A Komal
%T Analysis of Selection Schemes for Solving an Optimization Problem in Genetic Algorithm
%J International Journal of Computer Applications
%@ 0975-8887
%V 93
%N 11
%P 1-3
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Genetic algorithm is a population based an adaptive search and optimizations techniques and genetic mimic the natural evolution process. The Genetic operators include selection, crossover and mutation. The aim to present this paper is it gives comparative selection strategies for solving an optimization problem in genetic algorithm and evaluates their performance.

References
  1. Tarun Varshney, Aishwary Katiyar, Pankaj Sharma, 2013. "Comparative analysis of selection schemes of genetic algorithm to find an optimum and reliable route in wired networks" , International Journal of Research in Information Technology, Volume-01, Issue-04, April 2013, (238-242).
  2. Anshul Sharma, Anuj Mehta 2013. "Review Paper of Various Selection Methods in Genetic Algorithm", International Journal of Advanced Research in Computer Science and Software Engineering Volume-03, No-07, July 2013, (1476-1479).
  3. Dr. Rajib Kumar Bhattacharjya, 2013. "Introduction to Genetic Algorithms".
  4. Tom V. Mathew, 2013. "Genetic Algorithm".
  5. Firas Alabsi, Reyadh Naoum, 2012. " Comparison of Selection Methods and Crossover Operations using Steady State Genetic Based Intrusion Detection System", Journal of Emerging Trends in Computing and Information Sciences, Volume-03, No-07, July 2012 ,1053-1058.
  6. Noraini Mohd Razali, John Geraghty, 2011. "Genetic Algorithm Performance with Different Selection Strategies in Solving TSP", Proceedings of the World Congress on Engineering Volume-02, July 6 - 8, 2011, 1-6.
  7. Chetan Chudasama, S. M. Shah, Mahesh Panchal, 2011. "Comparison of Parents Selection Methods of Genetic Algorithm for TSP", International Conference on Computer Communication and Networks CSI- COMNET, 85-87.
  8. S. N. Sivanandam, S. N. Deepa, 2000. "An Introduction to Genetic Algorithms".
  9. Mitchell Melanie, 1996. "An, Introduction to Genetic Algorithms".
  10. T. Blickle, L. Thiele, 1995. "A Comparison of Selection Schemes used in Genetic Algorithms", TIK-Report, Zurich.
Index Terms

Computer Science
Information Sciences

Keywords

Selection Crossover Roulette Wheel Selection Rank Selection Tournament Selection Elitism Selection.

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