Nature-inspired algorithms for the optimization of optical reference signals

Authors:
Sancho Salcedo-Sanz;José Saez-Landete;Manuel Rosa-Zurera
Affiliations:
Department of Signal Theory and Communications, Universidad de Alcalá, Alcalá de Henares, Madrid, Spain;Department of Signal Theory and Communications, Universidad de Alcalá, Alcalá de Henares, Madrid, Spain;Department of Signal Theory and Communications, Universidad de Alcalá, Alcalá de Henares, Madrid, Spain
Venue:
PPSN'06 Proceedings of the 9th international conference on Parallel Problem Solving from Nature
Year:
2006

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Genetic Algorithms in Search, Optimization and Machine Learning

Genetic Algorithms in Search, Optimization and Machine Learning
Enhancing genetic feature selection through restricted search and Walsh analysis

IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews

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Abstract

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.