Foundations of computational intelligence. Volume 3, Global optimization

Global optimization is a branch of applied mathematics and numerical analysis that deals with the task of finding the absolutely best set of admissible conditions to satisfy certain criteria / objective function(s), formulated in mathematical terms. Global optimization includes nonlinear, stochastic...

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Autres auteurs: Kacprzyk, Janusz, 1947- (Directeur de la publication), Siarry, Patrick, 1952- (Directeur de la publication), Hassanien, Aboul Ella, 1964- (Directeur de la publication), Abraham, Ajith, 1968- (Directeur de la publication), Engelbrecht, Andries P. (Directeur de la publication)
Format: Livre numérique
Langue:Anglais
Publié: Berlin, Heidelberg : Springer Berlin Heidelberg [20..].
Cham : Springer Nature
Édition:1st ed. 2009.
Collection:Studies in Computational Intelligence 203
Accès en ligne:Accès sur la plateforme de l'éditeur
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Accès Université d'Orléans
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Note: Archives Springer e-books (Licence nationale)
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Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Foundations of computational intelligence, Volume 3, Global optimization, Aboul-Ella Hassanien, Ajith Abraham, Athanasios V. Vasilakos and Witold Pedrycz (eds), Berlin Heidelberg, Springer, 2009, 1 vol. (XII-526 p.), Studies in computational intelligence, 978-3-642-01084-2
• Foundations of Computational Intelligence Volume 3, Texte imprimé, 9783642010866
• Foundations of Computational Intelligence Volume 3, Texte imprimé, 9783642101656
• Foundations of computational intelligence, Volume 3, Global optimization, Aboul-Ella Hassanien, Ajith Abraham, Athanasios V. Vasilakos and Witold Pedrycz (eds), Berlin Heidelberg, Springer, 2009, 1 vol. (XII-526 p.), Studies in computational intelligence, 978-3-642-01084-2
Table des matières:
  • 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 Hybrid GRASP Heuristics 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 Using Fuzzy Parameter Tuning Global Optimization Algorithms: Applications An Evolutionary Approximation for the Coefficients of Decision Functions within a Support Vector Machine Learning Strategy Evolutionary Computing in Statistical Data Analysis Meta-heuristics for System Design Engineering Transgenetic Algorithm: A New Endosymbiotic Approach for Evolutionary Algorithms Multi-objective Team Forming Optimization for Integrated Product Development Projects Genetic Algorithms for Task Scheduling Problem PSO_Bounds: A New Hybridization Technique of PSO and EDAs