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Optimization and Learning 5th International Conference, OLA 2022, Syracuse, Sicilia, Italy, July 18–20, 2022, Proceedings

Aus der Reihe Communications in Computer and Information Science
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72,99 € UVP 82,49 €

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

11.12.2022

Abbildungen

XI, 253 p. 88 illus., 81 illus. in color.

Herausgeber

Bernabé Dorronsoro + weitere

Verlag

Springer

Seitenzahl

253

Maße (L/B/H)

23,5/15,5/1,5 cm

Gewicht

411 g

Auflage

22001 Auflage 1st ed. 2022

Sprache

Englisch

ISBN

978-3-031-22038-8

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

11.12.2022

Abbildungen

XI, 253 p. 88 illus., 81 illus. in color.

Herausgeber

Verlag

Springer

Seitenzahl

253

Maße (L/B/H)

23,5/15,5/1,5 cm

Gewicht

411 g

Auflage

22001 Auflage 1st ed. 2022

Sprache

Englisch

ISBN

978-3-031-22038-8

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

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  • Produktbild: Optimization and Learning
  • Produktbild: Optimization and Learning
  • Optimization and Learning.-  Evolutionary-Based Co-Optimization of DNN and Hardware Configurations on Edge GPU.- Maximum Information Coverage and Monitoring Path Planning With Unmanned Surface Vehicles Using Deep Reinforcement Learning.- Tuning ForestDisc hyperparameters: A sensitivity analysis.- Multi-objective hyperparameter optimization with performance uncertainty.-  Novel Optimization Techniques.- A new algorithm for bi-objective problems based on gradient information.- Adaptive Continuous Multi-Objective Optimization using Cooperative Agents.- Integer Linear Programming reformulations for the linear ordering problem.- SHAMan: a versatile auto-tuning framework for costly and noisy HPC systems.- Cooperation-based search of global optima.- Date-driven Simulation-Optimization (DSO): An Efficient Approach to Optimize Simulation Models with Databases.-  Logistics.-  Sweep Algorithms for the Vehicle Routing Problem with TimeWindows.- Improving the accuracy of vehicle routing problem approximation using the formula for the average distance between a point and a rectangular area.- Optimal Delivery Area Assignment for the Capital Vehicle Routing Problem Based on a Maximum Likelihood Approach.- Neural Order-First Split-Second Algorithm for the Capacitated Vehicle Routing Problem.-  Applications.-  GRASP-based hybrid search to solve the multi-objective requirements selection problem.- Comparing Parallel Surrogate-based and Surrogate-free Multi-Objective Optimization of COVID-19 vaccines allocation.- Decentralizing and Optimizing Nation-Wide Employee Allocation while Simultaneously Maximizing Employee Satisfaction.- Categorical-Continuous Bayesian optimization applied to chemical reactions.- Assessing Similarity-Based Grammar-Guided Genetic Programming Approaches for Program Synthesis.