Learning and Intelligent Optimization : 14th International Conference, LION 14, Athens, Greece, May 24–28, 2020, Revised Selected Papers. 1st ed. 2020

種類:

電子ブック

責任表示:

edited by Ilias S. Kotsireas, Panos M. Pardalos

出版情報:

Cham : Springer International Publishing : Imprint: Springer, 2020

著者名:

• Kotsireas, Ilias S.
• Pardalos, Panos M.
• SpringerLink (Online service)

シリーズ名:

Theoretical Computer Science and General Issues ; 12096

ISBN:

9783030535520 [3030535525]    

注記:

Optimization for Urban Air Mobility -- A Matheuristic Algorithm for solving the Vehicle Routing Problem with Cross-Docking -- Physical activity as a risk factor in the progression of Osteoarthritis: A machine learning perspective -- QPTAS for the CVRP with a moderate number of routes in a metric space of any xed doubling dimension -- Early detection of eating disorders through machine learning techniques -- On Finding Minimum Cardinality Subset of Vectors with a Constraint on the Sum of Squared Euclidean Pairwise Distances -- Practical Approximation Algorithms for Stabbing Special Families of Line Segments with Equal Disks -- A Class of Linear Programs Solvable by Coordinate-wise Minimization -- Travel times equilibration procedure for route- flow traffic assignment problem -- confStream: Automated Algorithm Selection and Configuration of Stream Clustering Algorithms -- Randomized Algorithms for Some Sequence Clustering Problems -- Hyper-parameterized Dialectic Search for Non-Linear Box-constrained Optimizati
This book constitutes the refereed post-conference proceedings on Learning and Intelligent Optimization, LION 14, held in Athens, Greece, in May 2020. The 37 full papers presented together with one invited paper have been carefully reviewed and selected from 75 submissions. LION deals with designing and engineering ways of "learning" about the performance of different techniques, and ways of using past experience about the algorithm behavior to improve performance in the future. Intelligent learning schemes for mining the knowledge obtained online or offline can improve the algorithm design process and simplify the applications of high-performance optimization methods. Combinations of different algorithms can further improve the robustness and performance of the individual components. Due to the COVID-19 pandemic, LION 14 was not held as a physical meeting. .

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