Performance of Elephant Herding Optimization Algorithm on CEC 2013 Real Parameter Single Objective Optimization
Viktor Tuba, Marko Beko, Milan Tuba · WSEAS TRANSACTIONS on SYSTEMS archive · 2017
Numerous real life problems represents hard optimization problems that cannot be solved by deterministic algorithm. In the past decades various different methods were proposed for these kind of problems and one of the methods are nature inspired algorithms especially swarm intelligence algorithms. Elephant herding optimization algorithm (EHO) is one of the recent swarm intelligence algorithm that has not been thoroughly researched. In this paper we tested EHO algorithm on 28 standard benchmark functions and compared results with particle swarm optimization algorithm. Comparison show that EHO has good characteristics and it outperformed other approach from literature.