2015Unpublished venueRequires access

Comparative review of selection techniques in genetic algorithm

Anupriya Shukla, Hari Mohan Pandey, Deepti Mehrotra

Open publisher page 261 citations

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.

About this research paper

What this paper is about

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.

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OpenAlex reports 261 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available 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.

Key concepts: Selection (genetic algorithm), Quality control and genetic algorithms, Premature convergence, Computer science, Genetic algorithm, Convergence (economics), Population, Truncation selection

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