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

Authors:
Antonio LaTorre;Santiago Muelas;José María Peña
Affiliations:
Universidad Politécnica de Madrid, Madrid, Spain;Universidad Politécnica de Madrid, Madrid, Spain;Universidad Politécnica de Madrid, Madrid, Spain
Venue:
Proceedings of the 12th annual conference companion on Genetic and evolutionary computation
Year:
2010

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

Proceedings of the 12th annual conference companion on Genetic and evolutionary computation

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Abstract

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.