Mathematical modeling analysis of genetic algorithms under schema theorem

Issue title: Fuzzy Logic based Decision Making

Guest editors: Erik Maehle, Norbert Stoll and Chao-Hsien Chu

Article type: Research Article

Authors: Liu, Donghai

Affiliations: Hunan Railway Professional Technology College, Zhuzhou, Hunan 412001, China | E-mail: homomograph@foxmail.com

Correspondence: [*] Corresponding author: Hunan Railway Professional Technology College, Zhuzhou, Hunan 412001, China. E-mail: homomograph@foxmail.com.

Abstract: Genetic algorithm (GA) is a search algorithm for solving optimization problems and is an important part of evolutionary algorithms (EA). The main purpose of this research is to improve the mathematical modeling of GA, and to explore how to overcome the shortcomings of traditional algorithms under the Schema Theorem. The research results show that the improved GA can be more widely applied to the optimization problems and play an important role in solving practical problems.

Keywords: Genetic algorithm, schema theorem, mathematical modeling

DOI: 10.3233/JCM-191019

Journal: Journal of Computational Methods in Sciences and Engineering, vol. 19, no. S1, pp. 131-137, 2019