New Insights into Fuzzy Genetic Algorithms for Optimization Problems

New Insights into Fuzzy Genetic Algorithms for Optimization Problems

In this paper, we shed light on the use of two types of fuzzy genetic algorithms, which stand out from the literature due to the innovative ideas behind them. One is the Gendered Fuzzy Genetic Algorithm, where the crossover mechanism is regulated by the gender and the age of the population to genera...

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Bibliographic Details
Main Authors: Oleksandr Syzonov, Stefania Tomasiello, Nicola Capuano
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Algorithms
Subjects:
nearest neighbor
caching
fuzzy rules
fitness
priority
Online Access:https://www.mdpi.com/1999-4893/17/12/549
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