A proposed genetic algorithm selection method

Genetic algorithms (GAs) are stochastic search methods that mimic natural biological evolution. Genetic algorithms are broadly used in optimisation problems. They facilitate a good alternative in problem areas where the number of constraints is too large for humans to efficiently evaluate. This paper presents a new selection method for genetic algorithms. The new method is tested and compared with the Geometric selection method. Simulation studies show remarkable performance of the proposed GA selection method .The proposed selection method is simple to implement, and it has notable ability to reduce the effected of premature convergence compared to other method. The proposed GAs selection method is expected to help in solving hard problems quickly, reliably, and accuratelyCorresponding Author: Dr. Elgasim Elamin Elnima Ali, College of Computer & Information Sciences, King Saud University, P.O. Box-51178, Riyadh, 11543, Saudi Arabia. Email: elgasime@ccis.ksu.edu.s