A Selection Process for Genetic Algorithm Using Clustering Analysis
نویسندگان
چکیده
منابع مشابه
A Selection Process for Genetic Algorithm Using Clustering Analysis
This article presents a newly proposed selection process for genetic algorithms on a class of unconstrained optimization problems. The k-means genetic algorithm selection process (KGA) is composed of four essential stages: clustering, membership phase, fitness scaling and selection. Inspired from the hypothesis that clustering the population helps to preserve a selection pressure throughout the...
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ژورنال
عنوان ژورنال: Algorithms
سال: 2017
ISSN: 1999-4893
DOI: 10.3390/a10040123