A New Genetic Algorithm for Global Optimization based on Subdividing

This paper presents a novel approach called subdividing genetic algorithm (SGA) to the optimization of n-D simple- bounded continuous function. The proposed approach is startedfrom an initial population of vertices of the polytope created by the simple bound and then subdivided the search space into 2

Keywords:

genetic algorithm (GA) , optimization , Subdivision , fitness function