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Titlebook: Artificial Evolution; 14th International C Lhassane Idoumghar,Pierrick Legrand,Marc Schoenaue Conference proceedings 2020 Springer Nature S

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Introduction: Experimental Metastasis,at are usually performed by human experts based on metrics to assess the quality of the final image. This can be considered as an expensive black-box optimization problem with many parameters and many quality metrics. In this paper, we investigate the use of EA in the context of ISP parameter tuning with the aim of raw image enhancement.
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Aina Puce,Dianne Anderson,Robert L. Savoytimization problem is supposed to be multi-modal. We then compare the performances of two state-of-the-art Evolution Strategies which use different restart mechanisms to automatically tune the set of parameters on different crops and shows that multi-modal optimization methods may be recommended for such class of optimization problems.
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