Using Genetic Algorithms to Design Constant Weight Codes.
F.Comellas , R. Roca
Departament de Matemàtica Aplicada i Telemàtica;
Universitat Politècnica de Catalunya
pp. 119-124 of the Proceedings of the International Workshop on
Applications of Neural Networks to Telecommunications;
Edited by: J. Alspector, R. Goodman, T.X. Brown.
Lawrence Erlbaum Associates, Publishers.
Hillsdale, New Jersey, 1993.
ISBN 0-8058-1560-0
Genetic algorithms have been used successfully for solving
different combinatorial optimization problems.
We give here a new efficient application for the search of
constant weight codes.
The algorithm presented is intended to generate codes with
the maximum number of codewords for a given length, constant
weight and minimum Hamming distance.
A comparison with the simulated annealing technique is
also discussed.
On the other hand, the algorithm introduces a new scaling
for the cost function that proved to be more effective than
other scalings used in the literature.
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