Dynamic optimization using Self-Adaptive Differential Evolution

Abstract— 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.

• Type: Conference
• Year: 2009
• Where: CEC
• Authors: Janez Brest, Ales Zamuda, Borko Boskovic, Mirjam Sepesy Maucec, Viljem Zumer
• Keywords: Artificial Intelligence, Benchmark Functions, CEC 2009, CR Control Parameters, JDE Algorithm