Comparative review of selection techniques in genetic algorithm

Anupriya Shukla, Hari Mohan Pandey, Deepti Mehrotra

Research output: Chapter in Book/Report/Conference proceedingConference proceeding (ISBN)peer-review

192 Citations (Scopus)

Abstract

This paper compares various selection techniques used in Genetic Algorithm. Genetic algorithms are optimization search algorithms that maximize or minimizes given functions. Indentifying the appropriate selection technique is a critical step in genetic algorithm. The process of selection plays an important role in resolving premature convergence because it occurs due to lack of diversity in the population. Therefore selection of population in each generation is very important. In this study, we have reported the significant work conducted on various selection techniques and the comparison of selection techniques.

Original languageEnglish
Title of host publication2015 1st International Conference on Futuristic Trends in Computational Analysis and Knowledge Management, ABLAZE 2015
EditorsBhawna Kumar, Gurinder Singh, J.S. Jassi
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages515-519
Number of pages5
ISBN (Electronic)9781479984336
ISBN (Print)9781479984336
DOIs
Publication statusPublished - 10 Jul 2015
Event2015 1st International Conference On Futuristic Trends in Computational Analysis and Knowledge Management, ABLAZE 2015 - Greater Noida, India
Duration: 25 Feb 201527 Feb 2015

Publication series

Name2015 1st International Conference on Futuristic Trends in Computational Analysis and Knowledge Management, ABLAZE 2015

Conference

Conference2015 1st International Conference On Futuristic Trends in Computational Analysis and Knowledge Management, ABLAZE 2015
Country/TerritoryIndia
CityGreater Noida
Period25/02/1527/02/15

Keywords

  • Genetic Algorithm
  • proportionate roulette wheel selection
  • Ranking Selection
  • tournament selection

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