A memetic algorithm using local search chaining forblack-box optimization benchmarking 2009 for noise free functions
Daniel Molina, Manuel Lozano, Francisco Herrera · 2009
Memetic algorithms with continuous local search methods have arisen as effective tools to address the difficulty of obtaining reliable solutions of high precision for complex continuous optimisation problems. There exists a group of continuous search algorithms that stand out as brilliant local search optimisers. Several of them, like CMA-ES, often require a high number of evaluations to adapt its parameters. Unfortunately, this feature makes difficult to use them to create memetic algorithms.