MO-TRIBES for the Optimal Design of Analog Filters

MO-TRIBES for the Optimal Design of Analog Filters

Mourad Fakhfakh (University of Sfax, Tunisia) and Patrick Siarry (University of Paris-Est Créteil, France)
Copyright: © 2013 |Pages: 17
DOI: 10.4018/978-1-4666-2666-9.ch003
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Abstract

The authors present the use of swarm intelligence in the analog design field. MO-TRIBES, which is an adaptive user-parameter less version of the multi-objective particle swarm optimization technique, is applied for the optimal design of a versatile building block, namely a CMOS current conveyor transconductance amplifier (CCTA). The optimized CCTA is used for the design of a universal filter. Good reached results are highlighted via SPICE simulations, and are compared to the theoretical ones. The use of such adaptive optimization algorithm is of great interest in the analog circuit design, as it is highlighted in this chapter.

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