Development of whale opti̇mi̇zati̇on algorithm based on continuous time chaotic system

In the scope of this study, literature search about meta-heuristic optimization methods was performed. Whale Optimization Algorithm which is one of the new optimization method inspired by nature was examined and performance of the algorithm has been tested in benchmark functions and real engineering problems. Different versions of the algorithm were created using chaotic maps and continuous time chaotic systems. Because of the stochastic structure of the meta-heuristic optimization algorithms, random number sequences are frequently used in this area. The distributions of randomly generated number sequences are very effective on the convergence of algorithms to the global optimum. For this reason, as a random number generator, chaotic maps can be used with heuristic optimization algorithms. In this thesis study, the effect of the chaotic map on the meta-heuristic algorithm is examined and it has been shown that the use of continuous time chaotic systems may be more useful than chaotic maps in some cases.