Self adaptation of parameters for MCPC in genetic algorithms

Self adaptation of parameters for MCPC in genetic algorithms

As a new promising crossover method, multiple crossovers per couple (MCPC) deserves special attention in evolutionary computing field. Allowing multiple crossovers per couple on a selected pair of parents provided an extra benefit in processing time and similar quality of solutions when contrasted a...

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Bibliographic Details
Main Authors: Susana Cecilia Esquivel, Héctor Ariel Leiva, Raúl Hector Gallard
Format: Article
Language:English
Published: Postgraduate Office, School of Computer Science, Universidad Nacional de La Plata 2000-03-01
Series:Journal of Computer Science and Technology
Subjects:
genetic algorithm
self-adaptation
crossover
function optimisation
Online Access:https://journal.info.unlp.edu.ar/JCST/article/view/1012

Internet

https://journal.info.unlp.edu.ar/JCST/article/view/1012

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