IJPAM: Volume 88, No. 2 (2013)
A MAX-PLUS MODEL FOR GENETIC ALGORITHMS
Anthony Y. Aidoo
, Joseph Ackora-Prah
,
Kwasi Baah Gyamfi
, Bonsu Mensah Osei
Department of Mathematics and Computer Science
Eastern Connecticut State University
Willimantic, CT 06226, USA
Department of Mathematics
Kwame Nkrumah University of Science and Technology
Kumasi, GHANA
Department of Mathematics and Computer Science
Eastern Connecticut State University
Willimantic, CT 06226, USA


Kwasi Baah Gyamfi



Eastern Connecticut State University
Willimantic, CT 06226, USA

Kwame Nkrumah University of Science and Technology
Kumasi, GHANA

Eastern Connecticut State University
Willimantic, CT 06226, USA
Abstract. In this paper, a genetic algorithm (GA) reformulation that combines the properties of max-plus algebra is outlined. This theoretical analysis provides a useful framework for the determination the optimal solution of an optimization problem through a fitness function. The model allows us to handle the many properties, concepts and techniques of GA's in a simplified manner.
Received: July 10, 2013
AMS Subject Classification: 15A80, 34H05, 49J35, 49J99
Key Words and Phrases: max-plus algebra, optimization, genetic algorithm
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DOI: 10.12732/ijpam.v88i2.8 How to cite this paper?
Source: International Journal of Pure and Applied Mathematics
ISSN printed version: 1311-8080
ISSN on-line version: 1314-3395
Year: 2013
Volume: 88
Issue: 2