A Development Framework for Nature Analogic Heuristics

  • M. Feldmann
Conference paper
Part of the Studies in Classification, Data Analysis, and Knowledge Organization book series (STUDIES CLASS)


This paper classifies important nature analogic heuristics, such as Genetic Algorithms, Evolutionary Strategies, Simulated Annealing, and Tabu Search. Their central elements are compared by means of the descriptive A-R-O Model. It is shown how components of the procedures can be successfully interchanged, so that hybrid heuristics and their high potentials become available for future use. A development framework, called the Seven Steps of Development, that allows structured design of these methods and their hybrids is offered.


Genetic Algorithm Simulated Annealing Travel Salesman Problem Development Framework Strategy Variable 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2000

Authors and Affiliations

  • M. Feldmann
    • 1
  1. 1.Lehrstuhl für Betriebswirtschaftslehre und Unternehmensforschung Universität BielefeldBielefeldGermany

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