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The Concept of Confidence for Inheritance-Based Genetic Algorithms

Authors: Rubén Aguilar-Rivera; Manuel Valenzuela-Rendón; José Rodríguez-Ortiz;

The Concept of Confidence for Inheritance-Based Genetic Algorithms

Abstract

In this article the possibility of saving evaluations during the running of the genetic algorithm is investigated. The study begins with the presentation of the concept on inheritance, already proposed in literature. The article develops further this idea with the addition of the concept of confidence, enabling the possibility of new schemes of inheritance, such as dynamic ones. The intuition of this enhancement is mathematically explored. The performance of the new schemes is compared via experimentation, leading to some interesting results.

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selected citations
These citations are derived from selected sources.
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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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