Applying genetic algorithms to frequency assignment problems

W. Crompton; Steve Hurley; Nelson M. Stephens

doi:10.1117/12.179242

30 June 1994 Applying genetic algorithms to frequency assignment problems

W. Crompton, Steve Hurley, Nelson M. Stephens

Proceedings Volume 2304, Neural and Stochastic Methods in Image and Signal Processing III; (1994) https://doi.org/10.1117/12.179242
Event: SPIE's 1994 International Symposium on Optics, Imaging, and Instrumentation, 1994, San Diego, CA, United States

Abstract

This paper details the application of a parallel genetic algorithm to the air-ground-air frequency assignment problem. Preliminary results indicate that the technique is successful in finding acceptable assignments, satisfying over 90% of constraints, for realistically sized air- ground-air frequency assignment scenarios. Comparisons are made with a classical backtracking and forward checking heuristic algorithm which is shown to be inferior to the genetic algorithm in terms of the execution time required to find reasonable frequency assignments.

Citation Download Citation

W. Crompton, Steve Hurley, and Nelson M. Stephens "Applying genetic algorithms to frequency assignment problems", Proc. SPIE 2304, Neural and Stochastic Methods in Image and Signal Processing III, (30 June 1994); https://doi.org/10.1117/12.179242

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