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A permutation based Genetic Algorithm for minimum span frequency assignment

  • Christine Valenzuela
  • Steve Hurley
  • Derek Smith
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1498)

Abstract

We describe a Genetic Algorithm (GA) for solving the minimum span frequency assignment problem (MSFAP).The MSFAP involves assigning frequencies to each transmitter in a region, subject to a number of constraints being satisfied, such that the span, i.e. the range of frequencies used, is minimized. The technique involves finding an ordering of the transmitters for use in a sequential (greedy) assignment process. Results are given which show that our GA produces optimal solutions to several practical problem instances, and compares favourably to simulated annealing and tabu search algorithms.

Keywords

Genetic Algorithm Tabu Search Travel Salesman Problem Travel Salesman Problem Channel Assignment 
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-Verlag Berlin Heidelberg 1998

Authors and Affiliations

  • Christine Valenzuela
    • 1
  • Steve Hurley
    • 2
  • Derek Smith
    • 3
  1. 1.School of Computing and MathematicsUniversity of TeessideUK
  2. 2.Department of Computer ScienceCardiff UniversityUK
  3. 3.Division of Mathematics and ComputingUniversity of GlamorganUK

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