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Computational Optimization Techniques to Design RF Circuits
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DOI：10.1109/MMM.2025.3573969.png)
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Abstract
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We present a comprehensive review of computational optimization techniques for the design of RF circuits. Important design techniques used to optimize RF circuits, such as genetic algorithms (GAs), particle swarm optimization (PSO), reinforcement learning (RL), Bayesian optimization (BO), and space mapping (SM), are discussed. The basics of the techniques, their merits, and their drawbacks are covered so that new researchers can understand the relevant theories of the techniques. A comparative analysis of design techniques is included. This article also provides insights into the present state and future directions of the optimization techniques.
Keywords:
Radio frequency
Reviews
Design methodology
Space mapping
Reinforcement learning
Microwave theory and techniques
Microwave circuits
Particle swarm optimization
Optimization
Genetic algorithms
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2.6
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3.1K
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