An improved differential evolution for parameter optimisation Online publication date: Mon, 03-Aug-2015
by Xiuqin Pan; Ruixiang Li
International Journal of Wireless and Mobile Computing (IJWMC), Vol. 8, No. 4, 2015
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.
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