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YARASA ALGORİTMASI VE KLONAL SEÇİM ALGORİTMASININ OPTİMİZASYON PROBLEMLERİ İLE PERFORMANS ANALİZİ
2017
Uludağ University Journal of The Faculty of Engineering
Evolutionary algorithms are preferred by many researchers in different areas for optimization tasks. It is quite important to find optimum points of problems with less number of iterations. In this paper, performance analysis of two powerful optimization algorithms; bat algorithm and clonal selection algorithm are studied using well-known benchmark functions. The experimental results show that bat algorithm outperforms clonal selection algorithm on most of the selected problems. It is also seen
doi:10.17482/uumfd.336407
fatcat:kttnv32phndqncqm6fithdb74u