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Optimization and learning5th International Conference, OLA 2022, Syracuse, Sicilia, Italy, July 18-20, 2022 : proceedings /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Optimization and learningedited by Bernabe Dorronsoro ... [et al.].
Reminder of title:	5th International Conference, OLA 2022, Syracuse, Sicilia, Italy, July 18-20, 2022 : proceedings /
remainder title:	OLA 2022
other author:	Dorronsoro, Bernabe.
corporate name:
Published:	Cham :Springer International Publishing :2022.
Description:	xi, 253 p. :ill. (chiefly color), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Artificial intelligence
Online resource:	https://doi.org/10.1007/978-3-031-22039-5
ISBN:	9783031220395$q(electronic bk.)

Optimization and learning5th International Conference, OLA 2022, Syracuse, Sicilia, Italy, July 18-20, 2022 : proceedings /
Optimization and learning5th International Conference, OLA 2022, Syracuse, Sicilia, Italy, July 18-20, 2022 : proceedings /[electronic resource] :OLA 2022edited by Bernabe Dorronsoro ... [et al.]. - Cham :Springer International Publishing :2022. - xi, 253 p. :ill. (chiefly color), digital ;24 cm. - Communications in computer and information science,16841865-0937 ;. - Communications in computer and information science ;229..

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.

This book constitutes the refereed proceedings of the 5th International Conference on Optimization and Learning, OLA 2022, which took place in Syracuse, Sicilia, Italy, in July 2022. The 19 full papers presented in this volume were carefully reviewed and selected from 52 submissions. The papers are organized in the following topical sections: Optimization and Learning; Novel Optimization Techniques; Logistics; and Applications.

ISBN: 9783031220395$q(electronic bk.)

Standard No.: 10.1007/978-3-031-22039-5doiSubjects--Topical Terms:

252958
Artificial intelligence

LC Class. No.: Q334

Dewey Class. No.: 006.3

Optimization and learning5th International Conference, OLA 2022, Syracuse, Sicilia, Italy, July 18-20, 2022 : proceedings /
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505 0 $a 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.
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