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Titlebook: Optimization in Artificial Intelligence and Data Sciences; ODS, First Hybrid Co Lavinia Amorosi,Paolo Dell’Olmo,Isabella Lari Conference pr

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楼主: McKinley
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A Genetic Algorithm to Optimize Dynamics of Supply Chains,, weights queues of materials by variations of processing velocities for suppliers. The minimization of the cost functional is achieved via a genetic algorithm that, as for the processing velocities, considers mechanisms of selection, crossover and mutation. A simulation example is discussed for the optimization procedure.
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Design and Optimization of a Regional Buffalo Milk Supply Chain: A Case Study,ion, generalized assignment, transportation and inventory/routing. Some of them could be easily solved with a spreadsheet add-in, while others required mixed-integer programming solvers like . and ILOG CPLEX.
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A Two-Stage Variational Inequality Formulation for a Game Theory Network Model for Hospitalization h Equilibria of the model and, particularly, we consider the Variational Equilibria which is obtained as the solution to a variational inequality problem. Finally, we present a basic numerical example to validate the effectiveness of the model.
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Hyper-Parameter Optimization in Support Vector Machine on Unbalanced Datasets Using Genetic Algorite., accuracy and G-mean, by optimizing a cost-sensitive Support Vector Machine and its hyper-parameter by a genetic algorithm. Experimental results on two benchmark datasets show that the proposed method is effective and efficient in comparison with the commonly used grid search method.
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Truck-and-Drone Parcel Delivery in the Alps,Integer-Linear-Programming model, and we solve it for instances with up to 23 parcels. We compare our results with those of a classical delivery framework involving a truck only, and we highlight the practical relevance of using drones in this mountainous context.
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Giovanni Fasano,Massimo Romaubsequent chapters are devoted to the key conceptual and technical contributions of DjDSL: Chapter 3 (“Variable Language Models”) explains how to design and implement the abstract syntax of a DSL in a variable 978-3-030-42154-0978-3-030-42152-6
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