Comparison of Genetic Algorithm and Bisection Method for Finding Roots in One-Dimension Space

Autor:	Chao Zhu Zhang, Sambourou Massinanke
Rok vydání:	2014
Předmět:	Optimization problem Meta-optimization Dimension (vector space) Crossover Genetic algorithm General Engineering Bisection method Space (mathematics) Algorithm Mathematics
Zdroj:	Advanced Materials Research. 1048:531-536
ISSN:	1662-8985
DOI:	10.4028/www.scientific.net/amr.1048.531
Popis:	The notion of Genetic Algorithm was presented by [1] with the purpose of making computers execute what nature does. GA is one of the best methods for solving the optimization problems which involve a large search space [2].
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::b481849f590d162da17e405f2954a343 https://doi.org/10.4028/www.scientific.net/amr.1048.531 Zobrazit plný text záznamu