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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© 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
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