Learning and Intelligent Optimization
Springer International Publishing (Verlag)
978-3-319-19083-9 (ISBN)
This book constitutes the thoroughly refereed post-conference proceedings of the 9th International Conference on Learning and Optimization, LION 9, which was held in Lille, France, in January 2015.
The 31 contributions presented were carefully reviewed and selected for inclusion in this book. The papers address all fields between machine learning, artificial intelligence, mathematical programming and algorithms for hard optimization problems. Special focus is given to algorithm selection and configuration, learning, fitness landscape, applications, dynamic optimization, multi-objective, max-clique problems, bayesian optimization and global optimization, data mining and - in a special session - also on dynamic optimization.
Benchmark problems and performance measures.- Tracking moving optima.- Dynamic multiobjective optimization.- Adaptation, learning, and anticipation.- Handling noisy fitness functions.- Using fitness approximations.- Searching for robust optimal solutions.- Comparative studies.- Hybrid approaches.- Theoretical analysis.- Real-world applications.
Erscheint lt. Verlag | 9.6.2015 |
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Reihe/Serie | Lecture Notes in Computer Science | Theoretical Computer Science and General Issues |
Zusatzinfo | XI, 313 p. 92 illus. |
Verlagsort | Cham |
Sprache | englisch |
Maße | 155 x 235 mm |
Themenwelt | Informatik ► Theorie / Studium ► Algorithmen |
Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik | |
Schlagworte | Algorithm Construction • answer set programming • Bio-inspired approaches • bio-inspired optimization • classification • Constraint Solving • construction heuristics • Data Mining • Decision Tree • Design • Discrete Optimization • experimentation • Gaussian processes • machine learning approaches • Metaheuristics • Multi-criterion optimization and decision-making • optimization with randomized search heuristics • Performance • Real-world application • Validation |
ISBN-10 | 3-319-19083-0 / 3319190830 |
ISBN-13 | 978-3-319-19083-9 / 9783319190839 |
Zustand | Neuware |
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