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International Journal of Advanced Research
Article . 2018 . Peer-reviewed
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ZENODO
Article . 2018
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Article . 2018
License: CC BY
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ZENODO
Article . 2018
License: CC BY
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EVALUATION OF THE OPERATORS OF THE GENETIC ALGORITHM IN APPLICATION ON THE TRAVELING SALESMAN PROBLEM.

Authors: S. Bourazza.;

EVALUATION OF THE OPERATORS OF THE GENETIC ALGORITHM IN APPLICATION ON THE TRAVELING SALESMAN PROBLEM.

Abstract

In this paper, we applied different operators of crossover and mutation of the genetic algorithm to solve the Traveling Salesman Problem (T.S.P.). We will compare them and give the best operators for the crossover and for the mutation with taking in account the effect of the interaction.

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Keywords

Genetic Algorithm Traveling Salesman Problem.

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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