Benchmarking a MOS-based algorithm on the BBOB-2010 noiseless function testbed

In this contribution, a hybrid algorithm combining Differential Evolution and IPOP-CMA-ES is presented and benchmarked on the BBOB 2010 noiseless testbed. The hybrid algorithm has been constructed within the Multiple Offspring Sampling framework, which allows the seamless combination of multiple metaheuristics in a dynamic algorithm capable of adjusting the participation of each of the composing algorithms according to their current performance. The experimental results show a robust behavior of the algorithm and a good scalability as the dimensionality increases. Categories and Subject Descriptors

• Type: Conference
• Year: 2010
• Where: GECCO
• Authors: Antonio LaTorre, Santiago Muelas, José María Peña
• Keywords: Dynamic Algorithm, GECCO 2010, Hybrid Algorithm, Optimization, Offspring Sampling Framework