Large scale global optimization using self-adaptive differential evolution algorithm

In this paper we present self-adaptive differential evolution algorithm jDElsgo on large scale global optimization. The experimental results obtained by our algorithm on benchmark functions provided for the CEC 2010 competition and special session on Large Scale Global Optimization are presented. The experiments were performed on 20 benchmark functions with high dimension D = 1000. Obtained results show that our algorithm performs highly competitive in comparison with the DECC-G , DECC-G and MLCC algorithms.

• Type: Journal
• Year: 2010
• Where: CEC
• Authors: Janez Brest, Ales Zamuda, Iztok Fister, Mirjam Sepesy Maucec
• Keywords: Artificial Intelligence, Benchmark Functions, CEC 2010, Large Scale, Scale Global Optimization