The Cheapest Shop Seeker : A New Algorithm For Optimization Problem in a Continous Space

Peter Bamidele Shola (University of Ilorin, Ilorin, Nigeria)

IAES International Journal of Artificial Intelligence (IJ-AI)
Vol 5, No 3: September 2016

In this paper a population-based meta-heuristic algorithm for optimization problems in a continous space is presented.The algorithm,here called cheapest shop seeker is modeled after a group of shoppers seeking to identify the cheapest shop (among many available) for shopping. The  algorithm was tested on many benchmark functions with the result  compared with those from some other methods. The algorithm appears to  have a better  success  rate of hitting the global optimum point  of a function  and of the rate of convergence (in terms of the number of iterations required to reach the optimum  value) for some functions  in spite  of its simplicity.