Computational Optimization Techniques to Design RF Circuits

Aijaz M. Zaidi

doi:10.1109/MMM.2025.3573969

Computational Optimization Techniques to Design RF Circuits

2026-02-01

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DOI：10.1109/MMM.2025.3573969

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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

Computational Optimization Techniques to Design RF Circuits

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