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Error-Analysis of Heuristic Algorithms by Simulation

  • Conference paper
First European Simulation Congress ESC 83

Part of the book series: Informatik-Fachberichte ((INFORMATIK,volume 71))

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Summary

Approximation-algorithms (heuristics) are important in time-critical ap- plications. The selection of a suitable heuristic depends on the expected error. Theoretical results for approximation-algorithms mainly deal with worst-case-estimations of the error. By simulation of the application-environment information about the error-behaviour of the application data can be obtained. The influence of parameters on the error-behaviour of different heuristics for the Travel ling-Salesman-problem have been analysed by this method.

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References

  1. Garey, M.R.; Johnson, D.S.: Computers and Intractability - A Guide to the Theory of NP-Complete- ness. W.H. Freeman and Co., San Francisco (1979).

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  2. Grötschel, M.: Approaches to hard combinatorial optimization problems. Modern Applied Mathematics - Optimization and OR (1982)

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  4. Schnitzler, R.: Greedyalgorithmen als approximierende und exakte Algorithmen. Entwurf einer Diplomarbeit, RWTH Aachen (1983).

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  5. Touring-Atlas 1978/79 Mairs Geographischer Verlag, Stuttgart (1978)

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© 1983 Springer-Verlag Berlin Heidelberg

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Schnitzler, R., Gebhardt, R., Ameling, W., Oberschelp, W. (1983). Error-Analysis of Heuristic Algorithms by Simulation. In: Ameling, W. (eds) First European Simulation Congress ESC 83. Informatik-Fachberichte, vol 71. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-69295-6_7

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  • DOI: https://doi.org/10.1007/978-3-642-69295-6_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-12723-9

  • Online ISBN: 978-3-642-69295-6

  • eBook Packages: Springer Book Archive

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