SEARCH RESULT

In daily life we may encounter many different optimization problems. There are many different algorithms developed for solving these problems. The abundance of optimization problems in every field, such as science, engineering, economics, health, communication, production, etc., have made these algorithms are more popular. These algorithms are divided into two main groups as mathematical based and meta-heuristic based algorithms. The meta-heuristic algorithms are inspired by the nature events in general. In this study, we deal with the Vortex Search (VS) algorithm, which is one of the meta-heuristic algorithms. This algorithm is inspired from the vortex pattern produced by the vortical flow of stirred fluids. We proposed some improvements on vortex search algorithm to increase the performance of the original VS algorithm. To show the performance of Improved Vortex Search (ImpVS) algorithm, we used well-known meta-heuristic algorithms, such as Differential Evolution (DE) algorithm, Particle Swarm Optimization (PSO) algorithm, Artificial Bee Colony (ABC) algorithm, Simulated Annealing (SA) algorithm and original Vortex Search (VS) algorithm. The obtained Benchmark results show that the proposed ImpVS algorithm has got the competitive performance for the optimization problems.

International Conference on Advanced Technologies, Computer Engineering and Science
ICATCES

Gökhan Uçar Uğur Yüzgeç