Dynamic optimization using Self-Adaptive Differential Evolution
Janez Brest, Aleš Zamuda, Borko Boškovič, Mirjam Sepesy Maučec, Viljem Zumer · 2009
In this paper we investigate a Self-Adaptive Differential Evolution algorithm (jDE) where F and CR control parameters are self-adapted and a multi-population method with aging mechanism is used. The performance of the jDE algorithm is evaluated on the set of benchmark functions provided for the CEC 2009 special session on evolutionary computation in dynamic and uncertain environments.