This paper presents two nature-inspired approaches to the design of Zero Reference Codes (ZRC) for optical applications, both in one and two dimensions. Specifically we present a genetic algorithm and a simulated annealing hybridized with a restricted search operator to cope with the problem constraints. Extensive experiments have shown that nature-inspired approaches proposed can improve the results of existing techniques for this problem. © Springer-Verlag Berlin Heidelberg 2006.
CITATION STYLE
Salcedo-Sanz, S., Saez-Landete, J., & Rosa-Zurera, M. (2006). Nature-inspired algorithms for the optimization of optical reference signals. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4193 LNCS, pp. 282–291). Springer Verlag. https://doi.org/10.1007/11844297_29
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