Multi-objective Optimization Algorithms for Class-E Amplifier Design

This paper presents multi-objective optimization algorithms for designing class-E switching-mode circuits. These methods expand the options for the passive elements incorporated into the circuit. As multi-objective optimization algorithms, we employ evolutionary computation methods such as MOEA/D and MOPSO. Additionally, we apply the Nelder—Mead method to the multi-objective optimization problem. A comparative analysis of these algorithms through an illustrative example provides valuable insights into the design of class-E amplifiers.