Advertisement

Heuristic Techniques in Optimisation

  • Val Lowndes
  • Stuart BerryEmail author
Chapter
Part of the Simulation Foundations, Methods and Applications book series (SFMA)

Abstract

These approaches can be useful when the problem to be solved is large and/or complex, when a timely good solution is considered to be better than a late optimal solution.

References

  1. 1.
    Holland JH (1992) Adaption in natural and artificial systems. MIT Press, CambridgeGoogle Scholar
  2. 2.
    Goldberg D (1989) Genetic algorithms in search optimisation and machine learning. Addison Wesley, MAGoogle Scholar
  3. 3.
    Mitchell M (1998) An introduction to genetic algorithms. MIT Press, CambridgeGoogle Scholar
  4. 4.
    Glover F (1989) Tabu search—Part I. ORSA J Comput 1(3):190–206MathSciNetCrossRefzbMATHGoogle Scholar
  5. 5.
    Glover F (1990) Tabu search—part II. ORSA J Comput 2:4–32CrossRefzbMATHGoogle Scholar

Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.University of DerbyDerbyUK
  2. 2.College of Engineering and Technology, University of DerbyDerbyUK

Personalised recommendations