Title: Optimal trajectory searching based differential evolution

Authors: Dazhi Jiang; Liyu Li; Jian Gong; Zhun Fan

Addresses: Department of Computer Science, Shantou University, GuangDong, China ' Department of Computer Science, Shantou University, GuangDong, China ' Department of Computer Science, Shantou University, GuangDong, China ' Department of Electronic and Information Engineering, Shantou University, GuangDong, China

Abstract: A well-designed best solution selection scheme is usually beneficial to enhance the effectiveness and efficiency of evolutionary algorithms. Optimal trajectory searching, a new best solution selection mechanism in the search behaviour of the traditional differential evolution (DE), is presented and analysed. Then an improved algorithm based on traditional DE and optimal trajectory searching mechanism is presented for enhancing the performance of DE. Performance compared with other four DE variants indicates that our algorithm outperforms them in terms of convergence speed and solution accuracy.

Keywords: optimal trajectory searching; differential evolution; search behaviour.

DOI: 10.1504/IJWMC.2015.070944

International Journal of Wireless and Mobile Computing, 2015 Vol.8 No.4, pp.384 - 393

Received: 08 Nov 2014
Accepted: 21 Nov 2014
Published online: 03 Aug 2015 *

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