Optimizing Transcutaneous Energy Transmitter Using Game Theory

Abstract

Over the past recent years, several studies, seeking reliable Transcutaneous Energy Transmitters (TETs), have used different types of optimization techniques with different objectives. Algorithms with multiple objectives and constraints resulted in different configurations in the Pareto front, making the decision of the final configuration harder. Moreover, the game theory has been gaining a lot of ground in the engineering design, mainly in decision making in the optimization problems. This study uses the advantage of the game theory together with genetic algorithm to find one final configuration of TET, which fulfills the specified constraints while optimizing different objective functions. It uses three players playing with six different variables, which were assigned to each player in a strategic manner according to each player's target.