An Order Based Hybrid Metaheuristic Algorithm for Solving Optimization Problems


GÖKALP O. , UĞUR A.

2017 International Conference on Computer Science and Engineering (UBMK), Antalya, Turkey, 5 - 08 October 2017, pp.604-609 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Doi Number: 10.1109/ubmk.2017.8093477
  • City: Antalya
  • Country: Turkey
  • Page Numbers: pp.604-609

Abstract

In this work, a hybrid method that includes metaheuristic algorithms has been proposed for solving optimization problems. The proposed method was implemented as employing three metaheuristic algorithms which are Artificial Bee Colony, Differential Evolution and Particle Swarm Optimization in an order. The success of the developed method is presented by testing on 12 continuous optimization test functions which are widely used in the literature. The experimental results show that the proposed hybrid method gives better results than the individual algorithms that make up it.