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Optimization and Learning : 5th International Conference, OLA 2022, Syracuse, Sicilia, Italy, July 18–20, 2022, Proceedings / edited by Bernabé Dorronsoro, Mario Pavone, Amir Nakib, El-Ghazali Talbi
(Communications in Computer and Information Science. ISSN:18650937 ; 1684)

データ種別	電子ブック
版	1st ed. 2022.
出版者	(Cham : Springer International Publishing : Imprint: Springer)
出版年	2022
大きさ	XI, 253 p. 97 illus., 81 illus. in color : online resource
著者標目	Dorronsoro, Bernabé editor Pavone, Mario editor Nakib, Amir editor Talbi, El-Ghazali editor SpringerLink (Online service)

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URL	巻　次	配架場所	請求記号	登録番号	コメント	刷　年	状　態	利用注記	ISBN	予約	請求メモ
URL		射水-電子	007	EB0001866	Computer Scinece R0 2005-6,2022-3				9783031220395

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一般注記	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 HTTP:URL=https://doi.org/10.1007/978-3-031-22039-5
件　名	LCSH:Artificial intelligence LCSH:Computer engineering LCSH:Computer networks LCSH:Numerical analysis LCSH:Algorithms FREE:Artificial Intelligence FREE:Computer Engineering and Networks FREE:Computer Engineering and Networks FREE:Numerical Analysis FREE:Design and Analysis of Algorithms
分　類	LCC:Q334-342 LCC:TA347.A78 DC23:006.3
書誌ID	EB00001254
ISBN	9783031220395