EH '05 Proceedings of the 2005 NASA/DoD Conference on Evolvable Hardware
HIS '05 Proceedings of the Fifth International Conference on Hybrid Intelligent Systems
Particle swarm optimisation with spatial particle extension
CEC '02 Proceedings of the Evolutionary Computation on 2002. CEC '02. Proceedings of the 2002 Congress - Volume 02
CMOS Digital Integrated Circuits Analysis & Design
CMOS Digital Integrated Circuits Analysis & Design
Use of particle swarm optimization to design combinational logic circuits
ICES'03 Proceedings of the 5th international conference on Evolvable systems: from biology to hardware
The particle swarm - explosion, stability, and convergence in amultidimensional complex space
IEEE Transactions on Evolutionary Computation
ANN- and PSO-Based Synthesis of On-Chip Spiral Inductors for RF ICs
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
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Evolutionary computation is an efficient tool for automated design of digital integrated circuits. Demand for electronic circuit automation has increased due to complexity growth in VLSI circuits. Since circuit design deals with highly complicated nonlinear equations, obtaining optimal solution of these equations due to particular constraints in short time and disregardable error is of prime concern. Simpler structure and better result providing in case of parameter growth makes particle swarm optimization (PSO) an ideal candidate for optimal design of circuit topologies. In this work, usage of PSO algorithm in digital electronic circuit design has been investigated. For this purpose, the performance of the algorithm has been tested on the design of an inverter considering transient performance. Performance criteria of inverter constitute the constraints of PSO. Obtained results show that theoretical design of inverter is matched with PSO based design.