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Learning and Intelligent Optimization : 9th International Conference, LION 9, Lille, France, January 12-15, 2015. Revised Selected Papers / edited by Clarisse Dhaenens, Laetitia Jourdan, Marie-Eléonore Marmion.
- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- LNCS sublibrary. Theoretical computer science and general issues 2512-2029 ; SL 1, 8994
- Theoretical Computer Science and General Issues, 2512-2029 ; 8994
- Language:
- English
- Subjects (All):
- Algorithms.
- Computer science.
- Artificial intelligence.
- Numerical analysis.
- Computer simulation.
- Computer Science Logic and Foundations of Programming.
- Artificial Intelligence.
- Numerical Analysis.
- Theory of Computation.
- Computer Modelling.
- Local Subjects:
- Algorithms.
- Computer Science Logic and Foundations of Programming.
- Artificial Intelligence.
- Numerical Analysis.
- Theory of Computation.
- Computer Modelling.
- Physical Description:
- 1 online resource (XI, 313 pages) : 92 illustrations
- Edition:
- 1st ed. 2015.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2015.
- System Details:
- text file PDF
- Summary:
- 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. A large variety of topics are covered, such as 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; and real-world applications.
- Contents:
- 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.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-319-19084-6
- 9783319190846
- Access Restriction:
- Restricted for use by site license.
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