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Performance Analysis of Diversity Measure with Crossover Operators in Genetic Algorithm

by M.Nandhini, S.Kanmani, S.Anandan
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 19 - Number 2
Year of Publication: 2011
Authors: M.Nandhini, S.Kanmani, S.Anandan
10.5120/2334-3039

M.Nandhini, S.Kanmani, S.Anandan . Performance Analysis of Diversity Measure with Crossover Operators in Genetic Algorithm. International Journal of Computer Applications. 19, 2 ( April 2011), 19-26. DOI=10.5120/2334-3039

@article{ 10.5120/2334-3039,
author = { M.Nandhini, S.Kanmani, S.Anandan },
title = { Performance Analysis of Diversity Measure with Crossover Operators in Genetic Algorithm },
journal = { International Journal of Computer Applications },
issue_date = { April 2011 },
volume = { 19 },
number = { 2 },
month = { April },
year = { 2011 },
issn = { 0975-8887 },
pages = { 19-26 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume19/number2/2334-3039/ },
doi = { 10.5120/2334-3039 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:05:57.200111+05:30
%A M.Nandhini
%A S.Kanmani
%A S.Anandan
%T Performance Analysis of Diversity Measure with Crossover Operators in Genetic Algorithm
%J International Journal of Computer Applications
%@ 0975-8887
%V 19
%N 2
%P 19-26
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The goal of np-hard Combinatorial Optimization is finding the best possible solution from the set of feasible solutions. In this paper, we establish an approach using genetic algorithm with various selection and crossover operators with repair function for an institute course timetabling problem. It employs a constructive heuristic approach to find the feasible timetable, fitness value calculation, selection operators, crossover operators and repair function. The performance of proposed and existing selection and crossover operators are compared and shown by keeping diversity in the fitness value of population.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Course timetabling fitness selection crossover repair optimal solution

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