Foundations of computational intelligence v. 3 Global optimization

Third volume of a Reference work on the foundations of Computational Intelligence Devoted to Global Optimization INDICE: From the contents Part-I: Global Optimization Algorithms: Theoretical Foundations and Perspectives.- Genetic Algorithms for the Use in Combinatorial Problems. - Bacterial Foraging Optimization Algorithm: Theoretical Foundations, Analysis, and Applications.- Global Optimization Using Harmony Search: Theoretical Foundations and Applications.- Particle Swarm Optimization: Performance Tuning and Empirical Analysis.- Tabu Search to Solve Real-Life Combinatorial Optimization Problems: a Case of Study.- Reformulations in Mathematical Programming: A Computational Approach.- Graph-based Local Elimination Algorithms in Discrete Optimization?.- Evolutionary Approach to Solving Non-stationary Dynamic Multi-objective Problems. Turbulent Particle Swarm Optimization with Fuzzy Parameter Tuning.- Part-II: Global Optimization Algorithms: Applications.- An Evolutionary Approximation for the Coefficients of Decision Functions within a Support Vector Machine Learning Strategy.

• ISBN: 978-3-642-01084-2
• Editorial: Springer
• Encuadernacion: Cartoné
• Páginas: 300
• Fecha Publicación: 01/05/2009
• Nº Volúmenes: 1
• Idioma: Inglés