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Learning and Intelligent Optimization [electronic resource] : 9th International Conference, LION 9, Lille, France, January 12-15, 2015. Revised Selected Papers / edited by Clarisse Dhaenens, Laetitia Jourdan, Marie-El�eonore Marmion.

Contributor(s): Dhaenens, Clarisse [editor.] | Jourdan, Laetitia [editor.] | Marmion, Marie-El�eonore [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Lecture Notes in Computer Science: 8994Publisher: Cham : Springer International Publishing : Imprint: Springer, 2015Description: XI, 313 p. 92 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319190846.Subject(s): Computer science | Computers | Algorithms | Computer logic | Numerical analysis | Artificial intelligence | Computer simulation | Computer Science | Algorithm Analysis and Problem Complexity | Logics and Meanings of Programs | Artificial Intelligence (incl. Robotics) | Numeric Computing | Computation by Abstract Devices | Simulation and ModelingAdditional physical formats: Printed edition:: No titleDDC classification: 005.1 Online resources: Click here to access online
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.
In: Springer eBooksSummary: 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.
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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.

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.

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