To address the common issue in traditional multi-load MCR-WPT systems, where misalignment or improper placement of charging equipment often leads to a decrease in charging efficiency, a parameter optimization method for MCR-WPT systems based on an adaptive genetic algorithm is proposed. Firstly, the impact of load radial offset, load quantity, transmission distance, and load resistance on system transmission efficiency in multi-load MCR-WPT systems is analyzed, and the results are verified using a combined simulation with Maxwell and Simplorer. Subsequently, an adaptive genetic algorithm is employed to find the optimal solution for key parameters affecting system efficiency, such as load radial offset, load resistance, and transmission distance, thereby achieving the best transmission efficiency for the system. The simulation results indicate that the overall transmission efficiency of the optimized system reaches 83.2%, a 7.7% improvement compared to the efficiency before optimization. Finally, an experimental platform for the multi-load MCR-WPT system is established for validation, and the experimental results show that the overall transmission efficiency of the optimized system reaches 81.6%, an 8.2% enhancement over the pre-optimization figures. Both simulation and experimental results confirm the effectiveness of the proposed adaptive genetic algorithm-based parameter optimization method for multi-load MCR-WPT systems.