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Titlebook: Learning and Intelligent Optimization; 13th International C Nikolaos F. Matsatsinis,Yannis Marinakis,Panos Par Conference proceedings 2020

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Michael Khachay,Yuri Ogorodnikovity, reliability and flexibility of the power grid. Technology has been added from the consumer premise which includes appliances, thermostats, home energy managers and load control switches all the way back to the generation facilities. The combination of these technologies could potentially optimi
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Panagiotis Kalatzantonakis,Angelo Sifaleras,Nikolaos Samarasity, reliability and flexibility of the power grid. Technology has been added from the consumer premise which includes appliances, thermostats, home energy managers and load control switches all the way back to the generation facilities. The combination of these technologies could potentially optimi
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0302-9743 and selected from 52 submissions. The papers focus on advancedresearch developments in such interconnected fields as mathematical programming, global optimization, machine learning, and artificial intelligence and?describe advanced ideas, technologies, methods, and applications in optimization and
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Learning Probabilistic Constraints for Surgery Scheduling Using a Support Vector Machine,set. The linear support vector classifier is then updated during search, until a feasible solution is discovered. The stochastic surgery model presented is inspired by real challenges faced by many hospitals today and tested on real-life data.
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