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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/41371

Title: A Creative Differential Evolution Algorithm for Global Optimization Problems
Authors: Hsin-Chuan Kuo;Ching-Hai Lin;Jeun-Len Wu
Contributors: 國立臺灣海洋大學:系統工程暨造船學系
Keywords: Global optimizations;Differential evolution algorithms;Garbage can decision-making model;Creative differential evolution algorithm
Date: 2013-05
Issue Date: 2017-02-15T01:07:18Z
Publisher: Journal of Marine Science and Technology
Abstract: 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.
URI: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/41371
Appears in Collections:[系統工程暨造船學系] 期刊論文

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