Variable Search Space Converging Genetic Algorithm for Solving System of Non-linear Equations

Variable Search Space Converging Genetic Algorithm for Solving System of Non-linear Equations

This paper introduce a new variant of the Genetic Algorithm whichis developed to handle multivariable, multi-objective and very high search space optimization problems like the solving system of non-linear equations. It is an integer coded Genetic Algorithm with conventional cross over and mutation...

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Bibliographic Details
Main Authors: SS Venkatesh, Mishra Deepak
Format: Article
Language:English
Published: De Gruyter 2020-07-01
Series:Journal of Intelligent Systems
Subjects:
genetic algorithm
roulette wheel selection
cross over
mutation
multi objective optimization
multi variable optimization
computer science
artificial intelligence
Online Access:https://doi.org/10.1515/jisys-2019-0233

Internet

https://doi.org/10.1515/jisys-2019-0233

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