Application of MO-TRIBES to the design of analog electronic circuits

Abstract

This paper deals with using MO-TRIBES, an adaptive multiobjective Particle Swarm Optimization algorithm, for optimally sizing CMOS positive second generation Current Conveyors. Pareto front is generated while minimizing parasitic X-port input resistance RX and maximizing current high cut-off frequency fchi. Results obtained using MO-TRIBES are provided and compared to those obtained using the classical MOPSO algorithm. SPICE simulation results are presented to validate obtained sizing.