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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