Swarm Intelligence Optimization Techniques for an Optimal RF Integrated Spiral Inductor Design

Passive components such as inductors are used in many radiofrequency integrated circuits (RFIC's). In RF block., like Voltage Control Oscillators (VCO), Mixer., Low Noise Amplifier (LNA)., Phase-Locked Loop (PLL), the spiral inductor design constitutes a very important task to reduce the total system size and assembly cost. The aim of this present work is to design an optimal integrated spiral inductor by means of two swarm intelligence based metaheuristics namely Ant Colony Optimization (ACO) technique and Artificial Bee Colony Algorithm (ABC). The considered optimization applications uses the physical dimensions of the square spiral-integrated inductor as the design parameters while taking into consideration the most important constraints specifications including the fixed value of required inductance $(\mathbf{Ls}_{\mathbf{req}})$, the operating frequency., and the minimum factor of quality $(\mathbf{Q}_{{\mathbf{min}}})$. A comparison between the used swarm intelligence (SI) techniques is presented. Simulations using an electromagnetic software (ADS Momentum) are used to validate the obtained result/performances.

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