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E-raamat: Optimization and Learning: 5th International Conference, OLA 2022, Syracuse, Sicilia, Italy, July 18-20, 2022, Proceedings

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Optimization and Learning: 5th International Conference, OLA 2022, Syracuse, Sicilia, Italy, July 18-20, 2022, ProceedingsSuurem pilt
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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.
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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