Qin-Qin Fan, Yi-Lian Zhang, Xue-Feng Yan and Zhi-Huan Wang. Enhancing the Performance of JADE Using Two-phase Parameter Control Scheme and Its Application. International Journal of Automation and Computing, vol. 15, no. 4, pp. 462-473, 2018. DOI: 10.1007/s11633-018-1119-x
Citation: Qin-Qin Fan, Yi-Lian Zhang, Xue-Feng Yan and Zhi-Huan Wang. Enhancing the Performance of JADE Using Two-phase Parameter Control Scheme and Its Application. International Journal of Automation and Computing, vol. 15, no. 4, pp. 462-473, 2018. DOI: 10.1007/s11633-018-1119-x

Enhancing the Performance of JADE Using Two-phase Parameter Control Scheme and Its Application

  • The search efficiency of differential evolution (DE) algorithm is greatly impacted by its control parameters. Although many adaptation/self-adaptation techniques can automatically find suitable control parameters for the DE, most techniques are based on population information which may be misleading in solving complex optimization problems. Therefore, a self-adaptive DE (i.e., JADE) using two-phase parameter control scheme (TPC-JADE) is proposed to enhance the performance of DE in the current study. In the TPC-JADE, an adaptation technique is utilized to generate the control parameters in the early population evolution, and a well-known empirical guideline is used to update the control parameters in the later evolution stages. The TPC-JADE is compared with four state-of-the-art DE variants on two famous test suites (i.e., IEEE CEC2005 and IEEE CEC2015). Results indicate that the overall performance of the TPC-JADE is better than that of the other compared algorithms. In addition, the proposed algorithm is utilized to obtain optimal nutrient and inducer feeding for the Lee-Ramirez bioreactor. Experimental results show that the TPC-JADE can perform well on an actual dynamic optimization problem.
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