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OmeGA pp 51-68 | Cite as

Application to a Scheduling Problem

  • Dimitri Knjazew
Part of the Genetic Algorithms and Evolutionary Computation book series (GENA, volume 6)

Abstract

In the previous chapters we tested the OmeGA and the RKGA only on artificial problems with a predefined structure of the BBs. However, as was said in the second chapter, it is hard or even impossible to estimate the building-block structure of real-world problems. We do not know the number, the size, or the scale of the BBs. It is also unclear whether they overlap or not.

Keywords

Schedule Problem Product Family Feasible Schedule Multicriteria Optimization Alternative Machine 
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 Science+Business Media New York 2002

Authors and Affiliations

  • Dimitri Knjazew
    • 1
  1. 1.SAP AGGermany

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