Titlebook: Optimization and Data Science: Trends and Applications; 5th AIROYoung Worksh Adriano Masone,Veronica Dal Sasso,Valentina Morand Conference

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腐蚀

2523-7047 potentially benefit from the recent applications presented.IThis proceedings volume collects contributions from the 5th AIRO Young Workshop and AIRO PhD School 2021 joint event on “Optimization and Data Science: Trends and Applications”, held online, from February 8 to 12, 2021. The joint event was

防御

Potential Sales Estimates of a New StoreFor this project, both a . model and a ., are used together..The aim is to support the sales managers engaging new PoS with an automatic tool, which in each year’s quarter examines all the Italian active commercial activities and returns the most promising ones.

马笼头

demote

An Optimization Model for Service Requests Management in a 5G Network Architecturem for which we derive the associated Variational inequality formulation. Also, qualitative properties in terms of existence and uniqueness of solution are provided. Finally, a numerical example is performed to validate the effectiveness of the model.

Gentry

Reinforcement Learning for the Knapsack Problemto achieve solutions for the knapsack problem, which is a CO problem. Our algorithm finds close to optimal solutions for instances up to one hundred items, which leads to conjecture that RL and self-attention may be major building blocks for future state-of-the-art heuristics for other CO problems.

LAY

Instance Generation Framework for Green Vehicle Routingiants are considered, (i) where consecutive AFSs visits are not allowed, and (ii) where consecutive AFSs visits are allowed. The results are analyzed and discussed, and conclusions on the benefits of the contributions are presented.

伦理学

insolence

惰性女人

Metal Additive Manufacturing: Nesting vs. Schedulingelationship between nesting and scheduling when planning and scheduling SLM machines. Numerical examples are conducted to show that optimal nesting does not guarantee optimal scheduling. It is concluded that the nesting and scheduling problems must be considered simultaneously to ensure feasibility.