Comparison of a Modified Self-organizing Migrating Algorithm with Other Selected Optimization Methods Used for Different Testing Functions

The paper deals with testing and evaluation of selected modified heuristic optimization methods Random Search, Downhill Simplex, Hill Climbing, Tabu Search, Local Search, Simulated Annealing, Evolution Strategy; Differential Evolution and Self Organizing Migrating Algorithm. The optimization methods were tested on four standard testing functions – the domain of the function is a defined step for each axis – substitution of the simulation model input parameter (discrete) values of the discrete event simulation model. The paper is mainly focused on testing the SOMA optimization method because this method is derived from Differential Evolution. Differential Evolution was a successful optimization for different dimensional search spaces. We proposed different evaluation criteria. We also tested different settings of these optimization methods to analyse their behaviour considering the setup of the optimization method parameters. Keyword: Simulation optimization; optimization methods; Self Organizing Migrating Algorithm; testing function; evaluation This Publication has to be referred as: Raska, P[avel] & Ulrych, Z[denek] (2016). Comparison of a Modified SelfOrganizing Migrating Algorithm with other Selected Optimization Methods used for Different Testing Functions, Proceedings of the 26th DAAAM International Symposium, pp.0453-0461, B. Katalinic (Ed.), Published by DAAAM International, ISBN 978-3-902734-07-5, ISSN 1726-9679, Vienna, Austria DOI:10.2507/26th.daaam.proceedings.060