CSGA: A DUAL POPULATION GENETIC ALGORITHM BASED ON MEXICAN CAVEFISH GENETIC DIVERSITY

CSGA: A DUAL POPULATION GENETIC ALGORITHM BASED ON MEXICAN CAVEFISH GENETIC DIVERSITY

Genetic algorithms (GAs) are search algorithms based on population genetics and natural selection concepts. Maintaining population variety in GAs is critical for ensuring global exploration and mitigating the risks of premature convergence. Rapid convergence to local optima is one such challenge in...

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Bibliographic Details
Main Authors: Esra'a Alkafaween, Ahmad Hassanat, Ehab Essa, Samir Elmougy
Format: Article
Language:English
Published: Scientific Research Support Fund of Jordan (SRSF) and Princess Sumaya University for Technology (PSUT) 2024-04-01
Series:Jordanian Journal of Computers and Information Technology
Subjects:
cave-surface ga
diversity
genetic algorithm
premature convergence
Online Access:https://www.jjcit.org/?mno=190346

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https://www.jjcit.org/?mno=190346

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