CORDIS Project
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The dynaBBO project aims to enhance black-box optimization techniques by dynamically selecting and switching algorithms based on problem instances and optimization stages. It combines theoretical insights with automated machine learning to improve efficiency in various applications, including bio-medicine and computati…
Black-box optimization algorithms are among the most widely applied optimization techniques in practice, used to solve numerous problems across a broad range of industrial branches and academic disciplines every day.
Given this importance, it is not surprising that a plethora of different black-box optimization algorithms exist, complementing each other in strengths and weaknesses.
In the dynaBBO project, we set out to obtain more efficient black-box optimization techniques by leveraging this co…
CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS
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