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.
International Journal of Wireless and Mobile Computing, 2015 Vol.8 No.4, pp.394 - 400
Received: 09 Aug 2014
Accepted: 16 Sep 2014
Published online: 27 Jul 2015 *