In this paper, the authors intended to demonstrate that classical topologies with an input current source are more stable in the face of variations in the load, due to the charging process, as well as the coupling factor variation, and also vary little in terms of output power and input current. A first step is to carry out an in-depth review of the four classical topologies of inductive resonant coupling. After clarifying all the advantages and disadvantages of each, it is possible to justify the application of the PS topology in IMDs. Commencing with the primary and secondary inductances, the choice of resonant components is influenced by multi-criteria decision-making processes. Consequently, a subsequent phase of this study involved the implementation of an algorithm based on Differential Evolution (as referenced in [13]). This algorithm is aimed at determining inductances and capacitances that are viable both technically and practically. Presently, a diverse array of bio-inspired optimization techniques are utilized across various engineering disciplines, including power flow analysis. Notable among these are the Artificial Hummingbird [14], Prairie Dog [15], Marine Predators [16], and Slime Mold Algorithms [17], along with the Differential Evolution algorithm. Although each of these methods demonstrates commendable accuracy and convergence speed, the Differential Evolution (DE) algorithm has been specifically selected for this research. This choice is attributable to DE's rapid convergence, high precision, straightforward implementation process, and proficient handling of constraints. With a focus on experimental validation, other practical considerations must be taken into account. Topologies with series compensation on the primary have the great advantage of being able to operate from a voltage source at the input, avoiding the need for other stages, which could compromise the overall performance of the system. On the other hand, with parallel compensation in the primary, the circuit must be powered by a current source, which, in a way, makes the execution of the project difficult and can compromise the overall performance if an intermediate stage is necessary [18]. However, although parallel compensation in the primary brings with it the mentioned disadvantage, other technical advantages may justify the application of this topology. In this paper, in order to circumvent the limitation of primary parallel compensation, it was decided to feed the chosen circuit through a Class-E amplifier. The Class-E amplifier stands out for its topological simplicity and for its good performance at MHz or GHz frequencies [19]. An aggravating factor of this application lies in the fact that the Class-E amplifier is highly sensitive to parametric variations, that is small variations in the resonant elements or in the load can impair its operation [20]. The results revealed that the Differential Evolution algorithm employed in this study precisely selected parameters that enabled the system to operate with an efficiency exceeding 94%. This efficiency level demonstrated notable stability against variations in frequency and coil coupling. Additionally, considering the incorporation of a Class-E power amplifier for generating alternating current, the system's overall efficiency was maintained above 86%.