Learning and intelligent optimization : 10th International Conference, LION 10, Ischia, Italy, May 29-June 1, 2016, revised selected papers /: 10th International Conference, LION 10, Ischia, Italy, May 29-June 1, 2016, revised selected papers. (2016)

• Record Type: Book
• Further Information: Note: Paola Festa, Meinolf Sellmann, Joaquin Vanschoren (Eds.).
• Editors: Festa, Paola; Sellmann, Meinolf; Vanschoren, Joaquin
• Other Names: LION (Conference), 10th
• Contents: 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.
• Publisher Details: Cham : Springer
• Publication Date: 2016
• Copyright Date: 2016
• Extent: 1 online resource (309 pages)
• Subjects: 006.31; Computer science; Machine learning -- Congresses; Program transformation (Computer programming) -- Congresses; Computer algorithms -- Congresses; Mathematical optimization -- Data processing -- Congresses; Computers -- Programming -- General; Computers -- Intelligence (AI) & Semantics; Computers -- Data Processing; Computers -- Machine Theory; Computers -- Computer Simulation; Computer programming / software development; Artificial intelligence; Discrete mathematics; User interface design & usability; Computer modelling & simulation; Computer software; Logic design; Artificial intelligence; Computational complexity; Computer simulation; Computers -- Programming -- Algorithms; Algorithms & data structures
• Languages: English
• ISBNs: 9783319503493
• Related ISBNs: 9783319503486
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