Title: An improved differential evolution for parameter optimisation

Authors: Xiuqin Pan; Ruixiang Li

Addresses: School of Information Engineering, MinZu University of China, Beijing, China ' School of Information Engineering, MinZu University of China, Beijing, China

Abstract: In this paper, we propose an improved differential evolution (DE) to solve parameter optimisation problems. The new approach is called ICBBDE, which is an enhanced version of bare bones DE (BBDE). The ICBBDE employs an adaptive strategy to dynamically adjust the crossover rate. Moreover, a Cauchy mutation is used to improve the exploration ability. Experiments are conducted on a set of benchmark functions and two real-world parameter optimisation problems. Simulation results demonstrate the efficiency and effectiveness of our approach.

Keywords: differential evolution; bare bones DE; adaptive crossover rate; parameter optimisation; simulation.

DOI: 10.1504/IJWMC.2015.070937

International Journal of Wireless and Mobile Computing, 2015 Vol.8 No.4, pp.394 - 400

Available online: 27 Jul 2015 *

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