Abstract
Optimal analogue circuit sizing is investigated in this chapter. It is shown that hybridization of a global optimization approach with a local one leads to better results in optimization of such circuits, than using classical approaches. The case of merging Genetic Algorithms with the Simulated Annealing technique is considered. The hybrid algorithm is detailed and is evaluated using test functions. It is shown through three application examples, i.e. optimization of performances of a current conveyor, an operational transconductance amplifier and a low noise amplifier, that such hybrid algorithms yield optimal solutions in a much shorter time, when compared to conventional meta-heuristics.
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Fakhfakh, M. et al. (2011). Analogue Circuit Optimization through a Hybrid Approach. In: Köppen, M., Schaefer, G., Abraham, A. (eds) Intelligent Computational Optimization in Engineering. Studies in Computational Intelligence, vol 366. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21705-0_11
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