Learning and Intelligent Optimization 10th International Conference, LION 10, Ischia, Italy, May 29 -- June 1, 2016, Revised Selected Papers /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Festa, Paola (Επιμελητής έκδοσης), Sellmann, Meinolf (Επιμελητής έκδοσης), Vanschoren, Joaquin (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2016.
• Σειρά: Lecture Notes in Computer Science, 10079
• Θέματα: Computer science.; Computers.; Algorithms.; Computer logic.; Computer science > Mathematics.; Artificial intelligence.; Computer simulation.; Computer Science.; Algorithm Analysis and Problem Complexity.; Logics and Meanings of Programs.; Artificial Intelligence (incl. Robotics).; Discrete Mathematics in Computer Science.; Computation by Abstract Devices.; Simulation and Modeling.

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 review...

Πίνακας περιεχομένων:

• 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.