Investigating the parameter space of evolutionary algorithms

Investigating the parameter space of evolutionary algorithms

Abstract Evolutionary computation (EC) has been widely applied to biological and biomedical data. The practice of EC involves the tuning of many parameters, such as population size, generation count, selection size, and crossover and mutation rates. Through an extensive series of experiments over mu...

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Bibliographic Details
Main Authors: Moshe Sipper, Weixuan Fu, Karuna Ahuja, Jason H. Moore
Format: Article
Language:English
Published: BMC 2018-02-01
Series:BioData Mining
Subjects:
Evolutionary algorithms
Genetic programming
Meta-genetic algorithm
Parameter tuning
Hyper-parameter
Online Access:http://link.springer.com/article/10.1186/s13040-018-0164-x

Internet

http://link.springer.com/article/10.1186/s13040-018-0164-x

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