Abstract
Under the framework of the differential evolution algorithm, we develop a creative algorithm by extrapolating the thinking of the garbage can model. The developed algorithm is hence named in the study as a creative differential evolution algorithm (CDE).To verify the performance of the CDE, we selected seven well-known benchmark functions; three of them are uni-modal and four multi-modal. In conducting the numerical experiment, we adopted two different numbers of dimensions for each test functions, which is 50 and 100. The results show that CDE can find the global optimum robustly, demonstrating that CDE significantly improves the DE's performance.
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