Optimization and learning = 5th Inte...
International Conference on Optimization and Learning (2022 :)

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  • Optimization and learning = 5th International Conference, OLA 2022, Syracuse, Sicilia, Italy, July 18-20, 2022 : proceedings /
  • 紀錄類型: 書目-電子資源 : Monograph/item
    正題名/作者: Optimization and learning/ edited by Bernabe Dorronsoro ... [et al.].
    其他題名: 5th International Conference, OLA 2022, Syracuse, Sicilia, Italy, July 18-20, 2022 : proceedings /
    其他題名: OLA 2022
    其他作者: Dorronsoro, Bernabe.
    團體作者: International Conference on Optimization and Learning
    出版者: Cham :Springer International Publishing : : 2022.,
    面頁冊數: xi, 253 p. :ill. (chiefly color), digital ;24 cm.
    內容註: 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.
    Contained By: Springer Nature eBook
    標題: Artificial intelligence - Congresses. -
    電子資源: https://doi.org/10.1007/978-3-031-22039-5
    ISBN: 9783031220395
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