Qamar Abbasa, Jamil Ahmadb, Hajira Jabeena
Intelligent Automation & Soft Computing, Vol.24, No.2, pp. 377-390, 2018, DOI:10.1080/10798587.2017.1295678
Abstract This paper presents a novel random controlled pool base differential evolution algorithm (RCPDE)
where powerful mutation strategy and control parameter pools have been used. The mutation strategy
pool contains mutations strategies having diverse parameter values, whereas the control parameter
pool contains varying nature pairs of control parameter values. It has also been observed that with
the addition of rarely used control parameter values in these pools are highly beneficial to enhance
the performance of the DE algorithm. The proposed mutation strategy and control parameter pools
improve the solution quality and the convergence speed of DE algorithm. The simulation results of… More >
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