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Learning and intelligent optimization[electronic resource] :10th International Conference, LION 10, Ischia, Italy, May 29 -- June 1, 2016 : revised selected papers /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	005.1
書名/作者:	Learning and intelligent optimization : 10th International Conference, LION 10, Ischia, Italy, May 29 -- June 1, 2016 : revised selected papers // edited by Paola Festa, Meinolf Sellmann, Joaquin Vanschoren.
其他題名:	LION 10
其他作者:	Festa, Paola.
團體作者:	Clark Conference
出版者:	Cham : : Springer International Publishing :, 2016.
面頁冊數:	xi, 309 p. : : ill., digital ;; 24 cm.
Contained By:	Springer eBooks
標題:	Machine learning
標題:	Computer science.
標題:	Computer software.
標題:	Electronic data processing.
標題:	Computational complexity.
標題:	Artificial intelligence.
標題:	Computer Science.
標題:	Algorithm Analysis and Problem Complexity.
標題:	Logics and Meanings of Programs.
標題:	Artificial Intelligence (incl. Robotics)
標題:	Discrete Mathematics in Computer Science.
標題:	Computation by Abstract Devices.
標題:	Simulation and Modeling.
ISBN:	9783319503493
ISBN:	9783319503486
內容註:	Learning a stopping criteria for Local Search -- Surrogate Assisted Feature Computation for Continuous Problems -- MO-ParamILS: A Multi-objective Automatic Algorithm Configuration Framework -- Evolving Instances for Maximizing Performance Differences of State-of-The-Art Inexact TSP Solvers -- Extreme Reactive Portfolio (XRP): Tuning an Algorithm Population for Global Optimization -- Bounding the Search Space of the Population Harvest Cutting Problem with Multiple Size Stock Selection -- Designing and comparing multiple portfolios of parameter configurations for online algorithm selection -- Portfolios of Subgraph Isomorphism Algorithms -- Structure-preserving Instance Generation -- Feature Selection using Tabu Search with Learning Memory: Learning Tabu Search -- The Impact of Automated Algorithm Configuration on the Scaling Behaviour of State-of-the-art Inexact TSP Solvers -- Requests Management for Smartphone-based Matching Applications using a Multi-Agent Approach -- Self-Organizing Neural Network for Adaptive Operator Selection in Evolutionary Search -- Quantifying the Similarity of Algorithm Configurations -- Neighborhood synthesis from an ensemble of MIP and CP models -- Parallelizing Constraint Solvers for Hard RCPSP Instances -- Characterization of neighborhood behaviours in a multi-neighborhood local search algorithm -- Constraint Programming and Machine Learning for Interactive Soccer Analysis -- A Matheuristic Approach for the p-Cable Trench Problem -- An Empirical Study of Per-Instance Algorithm Scheduling -- Dynamic strategy to diversify search using history map in parallel solving -- Faster Model Based Optimization through Resource Aware Scheduling Strategies -- Risk-Averse Anticipation for Dynamic Vehicle Routing -- Solving GENOPT problems with the use of ExaMin solver -- Hybridisation of Evolutionary Algorithms through Hyper-heuristics for Global Continuous Optimisation.
摘要、提要註:	This book constitutes the thoroughly refereed post-conference proceedings of the 10th International Conference on Learning and Optimization, LION 10, which was held on Ischia, Italy, in May/June 2016. The 14 full papers presented together with 9 short papers and 2 GENOPT papers were carefully reviewed and selected from 47 submissions. The papers address all fields between machine learning, artificial intelligence, mathematical programming and algorithms for hard optimization problems. Special focus is given to new ideas and methods; challenges and opportunities in various application areas; general trends, and specific developments.
電子資源:	http://dx.doi.org/10.1007/978-3-319-50349-3

Learning and intelligent optimization[electronic resource] :10th International Conference, LION 10, Ischia, Italy, May 29 -- June 1, 2016 : revised selected papers /
Learning and intelligent optimization10th International Conference, LION 10, Ischia, Italy, May 29 -- June 1, 2016 : revised selected papers /[electronic resource] :LION 10edited by Paola Festa, Meinolf Sellmann, Joaquin Vanschoren. - Cham :Springer International Publishing :2016. - xi, 309 p. :ill., digital ;24 cm. - Lecture notes in computer science,100790302-9743 ;. - Lecture notes in computer science ;7103..

Learning a stopping criteria for Local Search -- Surrogate Assisted Feature Computation for Continuous Problems -- MO-ParamILS: A Multi-objective Automatic Algorithm Configuration Framework -- Evolving Instances for Maximizing Performance Differences of State-of-The-Art Inexact TSP Solvers -- Extreme Reactive Portfolio (XRP): Tuning an Algorithm Population for Global Optimization -- Bounding the Search Space of the Population Harvest Cutting Problem with Multiple Size Stock Selection -- Designing and comparing multiple portfolios of parameter configurations for online algorithm selection -- Portfolios of Subgraph Isomorphism Algorithms -- Structure-preserving Instance Generation -- Feature Selection using Tabu Search with Learning Memory: Learning Tabu Search -- The Impact of Automated Algorithm Configuration on the Scaling Behaviour of State-of-the-art Inexact TSP Solvers -- Requests Management for Smartphone-based Matching Applications using a Multi-Agent Approach -- Self-Organizing Neural Network for Adaptive Operator Selection in Evolutionary Search -- Quantifying the Similarity of Algorithm Configurations -- Neighborhood synthesis from an ensemble of MIP and CP models -- Parallelizing Constraint Solvers for Hard RCPSP Instances -- Characterization of neighborhood behaviours in a multi-neighborhood local search algorithm -- Constraint Programming and Machine Learning for Interactive Soccer Analysis -- A Matheuristic Approach for the p-Cable Trench Problem -- An Empirical Study of Per-Instance Algorithm Scheduling -- Dynamic strategy to diversify search using history map in parallel solving -- Faster Model Based Optimization through Resource Aware Scheduling Strategies -- Risk-Averse Anticipation for Dynamic Vehicle Routing -- Solving GENOPT problems with the use of ExaMin solver -- Hybridisation of Evolutionary Algorithms through Hyper-heuristics for Global Continuous Optimisation.

This book constitutes the thoroughly refereed post-conference proceedings of the 10th International Conference on Learning and Optimization, LION 10, which was held on Ischia, Italy, in May/June 2016. The 14 full papers presented together with 9 short papers and 2 GENOPT papers were carefully reviewed and selected from 47 submissions. The papers address all fields between machine learning, artificial intelligence, mathematical programming and algorithms for hard optimization problems. Special focus is given to new ideas and methods; challenges and opportunities in various application areas; general trends, and specific developments.

ISBN: 9783319503493

Standard No.: 10.1007/978-3-319-50349-3doiSubjects--Topical Terms:

135653
Machine learning

LC Class. No.: QA76.9.A43

Dewey Class. No.: 005.1

Learning and intelligent optimization[electronic resource] :10th International Conference, LION 10, Ischia, Italy, May 29 -- June 1, 2016 : revised selected papers /
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