Design and application of an enhanced GA

Author

Elgothamy, Hatem ; Zohdy, Mohamed A. ; Abdel-Aty-Zohdy, Hoda S.

Author_Institution

Dept. of Electr. & Comput. Eng., Oakland Univ., Rochester, MI, USA

fYear

2014

fDate

3-6 Aug. 2014

Firstpage

864

Lastpage

867

Abstract

This paper introduces an enhanced Genetic Algorithm GA that is faster and more efficient than the standard one. A simple 3D convex surface is optimized using different methods, Brute-Force, standard GA, and the enhanced GA. The enhanced GA is able to find the global minima within a certain range by using the least possible number of calculations, which, means less processing time and is robust to parameter selections. Special software was developed using Java for this purpose; also, MS-Excel was used to represent the data map as charts.

Keywords

Java; genetic algorithms; mathematics computing; 3D convex surface optimization; Brute-Force method; Java; MS-Excel; data map representation; enhanced GA method; enhanced genetic algorithm application; enhanced genetic algorithm design; parameter selections; software development; standard GA method; Algorithm design and analysis; Equations; Genetic algorithms; Java; Mathematical model; Sociology; Standards; bio inspired system; evolutionary algorithm; genetic algorithm; weighted roulette wheel;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems (MWSCAS), 2014 IEEE 57th International Midwest Symposium on

Conference_Location

College Station, TX

ISSN

1548-3746

Print_ISBN

978-1-4799-4134-6

Type

conf

DOI

10.1109/MWSCAS.2014.6908552

Filename

6908552