Abi, S. and Bouyghf, H. and Raihani, A. and Benhala, B. (2019) Swarm intelligence optimization techniques for an optimal RFxs integrated spiral inductor design. In: UNSPECIFIED.

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Abstract

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 (\mathbfLs-\mathbfreq), the operating frequency., and the minimum factor of quality (\mathbfQ-\mathbfmin). 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. © 2018 IEEE.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Uncontrolled Keywords: CMOS integrated circuits; Electric inductors; Low noise amplifiers; Optimization; Phase locked loops; Swarm intelligence, Ant Colony Optimization (ACO); Artificial bee colonies; Artificial bee colony algorithms (ABC); Metaheuristic; Radio frequency integrated circuits; RFIC; Spiral inductor; Swarm intelligence optimization, Ant colony optimization
Subjects: Computer Science
Divisions: SCIENTIFIC PRODUCTION > Computer Science
Depositing User: Administrateur Eprints Administrateur Eprints
Last Modified: 31 Jan 2020 15:45
URI: http://eprints.umi.ac.ma/id/eprint/2232

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