Characteristics of good meta-heuristic algorithms for the frequency assignment problem

Characteristics of good meta-heuristic algorithms for the frequency assignment problem

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Article ID: iaor20023272
Country: Netherlands
Volume: 107
Issue: 1
Start Page Number: 285
End Page Number: 301
Publication Date: Oct 2001
Journal: Annals of Operations Research
Authors: , ,
Keywords: markov processes
Abstract:

Most writers on frequency assignment algorithms have described the details of a single algorithm, and evaluated the algorithm on selected data sets. There has been relatively little emphasis on describing the common features that are important if an algorithm is to have good performance. This paper describes the key features, with particular emphasis on algorithms for weighted fixed spectrum problems. The use of algorithms handling weighted constraints has become increasingly common in recent years. The advantages and disadvantages of weighting constraints are demonstrated.

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