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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 Múltiple Offspring Sampling framework, which allows the seamless combination of múltiple metaheuristics in a dynamic algorithm capable of adjusting the participation of each of the composing algoritmias according to their current performance. The experimental results show a robust behaviordoi:10.1145/1830761.1830785 dblp:conf/gecco/LaTorreMP10 fatcat:vqzwl62xyzfsbbvn5sieq5hox4