Titlebook: High Performance Polymers: Their Origin and Development; Proceedings of the S Raymond B. Seymour,Gerald S. Kirshenbaum Conference proceedin

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that discriminates between potential winning and losing trades of the strategy. The features used as input for the machine learning model are generated from technical indicators at the moment a trade is opened, and are obtained through a market simulation using Open, High, Low, Close data in the Eu

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tric used to evaluate trading systems..In the conducted experiments, the classification models chosen by NSGA-II significantly enhanced the performance of the trading strategy, with 32.5% of the out-of-sample models showing positive returns and exhibiting similar in-sample and out-of-sample behavior

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Conference proceedings 1986at dominated that period. First there was the Stone Age eventually followed by the Tin, Bronze, Iron and Steel Ages. Today many historians consider us living in the Age of Synthetics: Polymers, Fibers, Plastics, Elastomers, Films, Coatings, Adhesives, etc. It is also interesting to note that in the

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terials that dominated that period. First there was the Stone Age eventually followed by the Tin, Bronze, Iron and Steel Ages. Today many historians consider us living in the Age of Synthetics: Polymers, Fibers, Plastics, Elastomers, Films, Coatings, Adhesives, etc. It is also interesting to note that in the 978-94-011-7075-8978-94-011-7073-4

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High Performance Polymers: Their Origin and Development978-94-011-7073-4

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search procedure (GRASP). The MILP formulation solves instances up?to 44 BUs, while the GRASP allows to solve instances up?to 484 BUs in less than 2.52?min. Computational experiments performed with a set of real instances from a Colombian HHC provider, show that the GRASP can reduce workload imbalances in a 57%.

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