3 search results for “multi-objective optimisation” in the Public website
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Multi-objective mixed-integer evolutionary algorithms for building spatial design
Multi-objective evolutionary computation aims to find high quality (Pareto optimal) solutions that represent the trade-off between multiple objectives.
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To explore the drug space smarter: Artificial intelligence in drug design for G protein-coupled receptors
Over several decades, a variety of computational methods for drug discovery have been proposed and applied in practice. With the accumulation of data and the development of machine learning methods, computational drug design methods have gradually shifted to a new paradigm, i.e. deep learning methods…
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Better ship designs thanks to smart algorithms
The perfect ship is light and sleek for speed, but also needs to be strong and stable for safe sailing. These and other conflicting requirements make it difficult, even with a supercomputer, to find the ideal design. Computer scientist Roy de Winter has developed an algorithm that helps strike the perfect…