ScholarLens Back to search
2009•Information technology newsletterRequires access

An improved method for roulette wheel selection of genetic algorithm

Xin Zhang

Open publisher page 3 citations

Abstract

As one of the most common used selections for genetic algorithm,fitness-proportionate selection usually uses the method of roulette wheel. An improved way of selection based on fitness-proportionate selection is proposed in this paper.Compared with the method of roulette wheel,this method is able to find out better adaptive value and has better convergence.Finally,the result of comparison is given through the computation of numerical function.

About this research paper

What this paper is about

As one of the most common used selections for genetic algorithm,fitness-proportionate selection usually uses the method of roulette wheel. An improved way of selection based on fitness-proportionate selection is proposed in this paper.Compared with the method of roulette wheel,this method is able to find out better adaptive value and has better convergence.Finally,the result of comparison is given through the computation of numerical function.

Why it matters

OpenAlex reports 3 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

As one of the most common used selections for genetic algorithm,fitness-proportionate selection usually uses the method of roulette wheel. An improved way of selection based on fitness-proportionate selection is proposed in this paper.Compared with the method of roulette wheel,this method is able to find out better adaptive value and has better convergence.Finally,the result of comparison is given through the computation of numerical function.

Key concepts: Fitness proportionate selection, Roulette, Selection (genetic algorithm), Computer science, Fitness function, Genetic algorithm, Convergence (economics), Mathematical optimization

Related papers

Related paper 1Related paper 2Related paper 3
Back to paper searchBrowse research topicsOriginal source
An improved method for roulette wheel selection of genetic algorithm — Research Paper | ScholarLens