Comparison of the Asynchronous Differential Evolution and JADE Minimization Algorithms
Joint Institute for Nuclear Research, 6, Joliot Curie St, 141980, Dubna, Moscow Region, Russia
a e-mail: Mikhail.Zhabitsky@jinr.ru
Published online: 9 February 2016
Differential Evolution (DE) is an efficient evolutionary algorithm to solve global optimization problems. In this work we compare performance of the recently proposed Asynchronous Differential Evolution with Adaptive Correlation Matrix (ADEACM) to the widely used JADE algorithm, a DE variant with adaptive control parameters.
© Owned by the authors, published by EDP Sciences, 2016
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