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020 _a9783031220395
024 7 _a10.1007/978-3-031-22039-5
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
245 1 0 _aOptimization and Learning
_b5th International Conference, OLA 2022, Syracuse, Sicilia, Italy, July 18-20, 2022, Proceedings
_cedited by Bernabé Dorronsoro, Mario Pavone, Amir Nakib, El-Ghazali Talbi
250 _a1st edition 2022
264 1 _aCham
_bSpringer International Publishing
_c2022
300 _a1 recurso en línea (XI, 253 páginas)
_b97 ilustraciones, 81 ilustraciones a color
336 _atexto
_btxt
_2rdacontent
337 _aelectrónico
_bc
_2rdamedia
338 _arecurso electrónico
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
490 0 _aCommunications in Computer and Information Science
_x1865-0937
_v1684
505 0 _aOptimization 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.
520 _aThis 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.
700 1 _aDorronsoro, Bernabé
_eeditor literario
_0(orcid)0000-0003-0481-790X
_1https://orcid.org/0000-0003-0481-790X
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aPavone, Mario
_eeditor literario
_0(orcid)0000-0003-3421-3293
_1https://orcid.org/0000-0003-3421-3293
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aNakib, Amir
_eeditor literario
_0(orcid)0000-0001-9620-9324
_1https://orcid.org/0000-0001-9620-9324
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aTalbi, El-Ghazali
_eeditor literario
_0(orcid)0000-0003-4549-1010
_1https://orcid.org/0000-0003-4549-1010
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
776 0 8 _iPrinted edition:
_z9783031220388
776 0 8 _iPrinted edition:
_z9783031220401
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-22039-5
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
988 _aSpringer_Computer_2022
999 _c394616
_d394616