Optimization is to find the best solution among the different solutions of a problem. Many algorithms are used to solve optimization problems. Optimization algorithms are generally divided into heuristic optimization algorithms and mathematical optimization algorithms. While mathematical optimization algorithms aim to reach the solution by scanning the whole solution set, heuristic optimization algorithms approach the solution set intuitively and aim to reach the best solution or the best solution. Mathematical optimization algorithms are costly to solve problems with a large set of solutions. In solving such problems, heuristic optimization algorithms are more advantageous and more preferred. An optimization algorithm cannot be expected to succeed on any problem or test function. Therefore, it is necessary to determine which kind of problem is best solved by which algorithm. Nowadays, as a result of the effective use of basic heuristic methods combined, Metaheuristic algorithms have been developed. These algorithms reach the optimum solution in the solution space faster by using efficient search operations in a high level working environment. Due to the widespread use of metaheuristic optimization techniques, many new metaheuristic optimization algorithms have been proposed today. Improved and hybrid studies are also performed on these proposed algorithms. In this study, Harris Hawks Optimization Algorithm (HHO), Satin Bowerbird Optimization Algorithm (SBO), Optimal Foraging Algorithm (OFA), Butterfly Optimization Algorithm (BOA) and Pity Beetle Algorithm (PBA) and Collective Decision Optimization Algorithm (CDOA) have been proposed in the literature in the last three years (2017-2019). The field of inspiration of these new optimization algorithms, study logic and search strategies are presented. It is thought that this review will shed light on the studies to be conducted in the field of metaheuristic optimization problems.
CITATION STYLE
Çelik, Y., Yıldız, İ., & Karadeniz, A. T. (2019). Son Üç Yılda Geliştirilen Metasezgisel Algoritmalar Hakkında Kısa Bir İnceleme. European Journal of Science and Technology, 463–477. https://doi.org/10.31590/ejosat.638431
Mendeley helps you to discover research relevant for your work.