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Handbook of Artificial Intelligence and Data Sciences for Routing Problems by Carlos A. S. Oliveira, Miltiades P. Pardalos is a nonfiction available to read on EtoBox.

What is Handbook of Artificial Intelligence and Data Sciences for Routing Problems about?

Preface Topics Book Audience Contents Contributors Acronyms List of Figures List of Tables 1 Route Sequence Prediction Through Inverse Reinforcement Learning and Bayesian Optimization 1.1 Introduction 1.1.1 Machine Learning Models 1.1.2 Proposed Algorithm 1.1.3 Linear Model 1.2 Related Work 1.2.1 Heuristic Methods 1.2.2 Reinforcement Learning 1.2.3 Reward Function 1.3 Methodology 1.3.1 Prediction of a Route Sequence Given Data 1.3.2 Solving the Model 1.3.3 Tracking Time 1.3.4 Learning the Parameters of the Prediction Function 1.3.5 Bayesian Optimization 1.3.6 Using Acquisition Function 1.4 Case Study 1.4.1 Results 1.4.2 Predicting Route Sequences 1.5 Conclusions References 2 A Comparative Evaluation of Monolithic and Microservice Architectures for Load Profiling Services in Smart Grids 2.1 Introduction 2.2 Related Works 2.3 Microservice Versus Monolithic Architecture for Load Profile Services for Smart Grid 2.3.1 Load Profile Services 2.3.2 Microservice Versus Monolithic Architecture 2.4 Results and Discussion 2.5 Conclusions and Future Works References 3 Heuristics for the Problem of Consolidating Orders into Vehicle Shipments with Compatible Categories and Freight Based on the Di

Who reads Handbook of Artificial Intelligence and Data Sciences for Routing Problems?

Author

Carlos A. S. Oliveira, Miltiades P. Pardalos

Publisher

Springer Nature Switzerland AG

Published

2025

Language

EN

ISBN

9783031782619

Category

nonfiction

Subjects

Mathematics, Stem