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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Détails bibliographiques
Cote:Libro Electrónico
Collectivité auteur: SpringerLink (Online service)
Autres auteurs: Abraham, Ajith (Éditeur intellectuel), Hassanien, Aboul-Ella (Éditeur intellectuel), Siarry, Patrick (Éditeur intellectuel), Engelbrecht, Andries (Éditeur intellectuel)
Format: Électronique eBook
Langue:Inglés
Publié: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2009.
Édition:1st ed. 2009.
Collection:Studies in Computational Intelligence, 203
Sujets:
Artificial intelligence.
Engineering mathematics.
Engineering-Data processing.
Artificial Intelligence.
Mathematical and Computational Engineering Applications.
Accès en ligne:Texto Completo
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.

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