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This paper examines the application of three multi-objective metaheuristics: multi-objective artificial bee colony (MOABC), multi-objective particle swarm optimization (MOPSO), and non-dominated sorting genetic algorithm (NSGA-II), to optimize a planar spiral inductor. The optimization focuses on two conflicting performance objectives: maximizing the quality factor (Q) while minimizing the area of the inductor. The validity of the design results is confirmed through circuit simulations conducted using Keysight's ADS Momentum simulator.
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DOI: 10.1109/iraset60544.2024.10549720
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