Engineering optimization : an introduction with metaheuristic applications /

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An accessible introduction to metaheuristics and optimization, featuring powerful and modern algorithms for application across engineering and the sciences From engineering and computer science to economics and management science, optimization is a core component for problem solving. Highlighting th...

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Détails bibliographiques
Cote:Libro Electrónico
Auteur principal: Yang, Xin-She
Format: Électronique eBook
Langue:Inglés
Publié: Hoboken, N.J. : John Wiley, ©2010.
Sujets:
Heuristic programming.
Mathematical optimization.
Engineering mathematics.
Programmation heuristique.
Optimisation mathématique.
Mathématiques de l'ingénieur.
TECHNOLOGY & ENGINEERING > Engineering (General)
TECHNOLOGY & ENGINEERING > Reference.
Engineering mathematics
Heuristic programming
Mathematical optimization
Accès en ligne:Texto completo
Table des matières:
  • Front Matter
  • Foundations of Optimization and Algorithms. A Brief History of Optimization
  • Engineering Optimization
  • Mathematical Foundations
  • Classic Optimization Methods I
  • Classic Optimization Methods II
  • Convex Optimization
  • Calculus of Variations
  • Random Number Generators
  • Monte Carlo Methods
  • Random Walk and Markov Chain
  • Metaheuristic Algorithms. Genetic Algorithms
  • Simulated Annealing
  • Ant Algorithms
  • Bee Algorithms
  • Particle Swarm Optimization
  • Harmony Search
  • Firefly Algorithm
  • Applications. Multiobjective Optimization
  • Engineering Applications
  • Appendix A: Test Problems in Optimization
  • Appendix B: MATLAB Programs
  • Appendix C: Glossary
  • Appendix D: Problem Solutions
  • References
  • Index.

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