Detecting faulty sensors in an array using symmetrical structure and cultural algorithm hybridized with differential evolution
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The detection of fully and partially defective sensors in a linear array composed of N sensors is addressed. First, the symmetrical structure of a linear array is proposed. Second, a hybrid technique based on the cultural algorithm with differential evolution is developed. The symmetrical structure has two advantages: (1) Instead of finding all damaged patterns, only (N–1)/2 patterns are needed; (2) We are required to scan the region from 0° to 90° instead of from 0° to 180°. Obviously, the computational complexity can be reduced. Monte Carlo simulations were carried out to validate the performance of the proposed scheme, compared with existing methods in terms of computational time and mean square error.
KeywordsCultural algorithm Differential evolution Linear symmetrical sensor array
- Reynolds, R.G., 1994. An introduction to cultural algorithms. Proc. 3rd Annual Conf. on Evolutionary Programming, p.131–139.Google Scholar
- Reynolds, R.G., Chung, C.J., 1996b. The use of cultural algo-rithms to evolve multiagent cooperation. Proc. Micro-Robot World Cup Soccer Tournament, p.53–56.Google Scholar
- Rogalsky, T., Kocabiyik, S., Derksen, R.W., 2000. Differential evolution in aerodynamic optimization. Can. Aeronaut. Space J., 46(4):183–190.Google Scholar