Learning and Intelligent Optimization 9th International Conference, LION 9, Lille, France, January 12-15, 2015. Revised Selected Papers /
Learning and Intelligent Optimization 9th International Conference, LION 9, Lille, France, January 12-15, 2015. Revised Selected Papers / [electronic resource] :
edited by Clarisse Dhaenens, Laetitia Jourdan, Marie-Eléonore Marmion.
- 1st ed. 2015.
- XI, 313 p. 92 illus. online resource.
- Theoretical Computer Science and General Issues, 8994 2512-2029 ; .
- Theoretical Computer Science and General Issues, 8994 .
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.
9783319190846
10.1007/978-3-319-19084-6 doi
Algorithms.
Computer science.
Artificial intelligence.
Numerical analysis.
Computer simulation.
Algorithms.
Computer Science Logic and Foundations of Programming.
Artificial Intelligence.
Numerical Analysis.
Theory of Computation.
Computer Modelling.
QA76.9.A43
518.1
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.
9783319190846
10.1007/978-3-319-19084-6 doi
Algorithms.
Computer science.
Artificial intelligence.
Numerical analysis.
Computer simulation.
Algorithms.
Computer Science Logic and Foundations of Programming.
Artificial Intelligence.
Numerical Analysis.
Theory of Computation.
Computer Modelling.
QA76.9.A43
518.1