Nature-inspired optimization algorithms /

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Nature-Inspired Optimization Algorithms provides a systematic introduction to all major nature-inspired algorithms for optimization. The book's unified approach, balancing algorithm introduction, theoretical background and practical implementation, complements extensive literature with well-cho...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Yang, Xin-She (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Amsterdam : Elsevier, 2014.
Colección:Elsevier insights.
Temas:
Mathematical optimization.
Algorithms.
Algorithms
Optimisation math�ematique.
Algorithmes.
algorithms.
Mathematical optimization
Optimierung
Algorithmus
Bionik
Evolution�arer Algorithmus
Schwarmintelligenz
Acceso en línea:Texto completo
Tabla de Contenidos:
  • 1. Introduction to algorithms
  • 2. Analysis of algorithms
  • 3. Random walks and optimization
  • 4. Simulated annealing
  • 5. Genetic algorithms
  • 6. Differential evolution
  • 7. Particle swarm optimization
  • 8. Firefly algorithms
  • 9. Cuckoo search
  • 10. Bat algorithms
  • Flower pollination algorithms
  • 12. A framework for self-tuning algorithms
  • 13. How to deal with constraints
  • 14. Multi-objective optimization
  • 15. Other algorithms and hybrid algorithms
  • Appendices.

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