Andere Kunden interessierten sich auch für
![Swarm Intelligence Based Optimization]( "Swarm Intelligence Based Optimization")
Swarm Intelligence Based Optimization36,99 €![Data Mining and Constraint Programming]( "Data Mining and Constraint Programming")
Data Mining and Constraint Programming37,99 €![Solving Large Scale Learning Tasks. Challenges and Algorithms]( "Solving Large Scale Learning Tasks. Challenges and Algorithms")
Solving Large Scale Learning Tasks. Challenges and Algorithms37,99 €![Evolutionary Multi-Criterion Optimization]( "Evolutionary Multi-Criterion Optimization")
Evolutionary Multi-Criterion Optimization37,99 €![Advances in Knowledge Representation, Logic Programming, and Abstract Argumentation]( "Advances in Knowledge Representation, Logic Programming, and Abstract Argumentation")
Advances in Knowledge Representation, Logic Programming, and Abstract Argumentation37,99 €![Evolutionary Multi-Criterion Optimization]( "Evolutionary Multi-Criterion Optimization")
Evolutionary Multi-Criterion Optimization37,99 €![Intelligent Information and Database Systems]( "Intelligent Information and Database Systems")
Intelligent Information and Database Systems75,99 €
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.
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.