
@Article{10798587.2017.1295678,
AUTHOR = {Qamar Abbas, Jamil Ahmad, Hajira Jabeen},
TITLE = {Random Controlled Pool Base Differential Evolution Algorithm (RCPDE)},
JOURNAL = {Intelligent Automation \& Soft Computing},
VOLUME = {24},
YEAR = {2018},
NUMBER = {2},
PAGES = {377--390},
URL = {http://www.techscience.com/iasc/v24n2/39764},
ISSN = {2326-005X},
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 
the proposed RCPDE algorithm shows significant performance as compared to other algorithms when 
tested over a set of multi-dimensional benchmark functions.},
DOI = {10.1080/10798587.2017.1295678}
}



