Optimization of a vibratory energy harvesting system via the cross-entropy method
Résumé
This work deals with the optimization of a bistable energy harvesting system through the cross-entropy method, a very appealing stochastic metaheuristic for solving non-convex optimization problems. The proposed optimization framework is applied to a highly complex problem with a discontinuous constraint that prevents the use of gradient-based methods. The numerical experiments illustrate the efficiency and robustness of the optimization strategy, allowing us to find a global optimum with a speed-up of up to two orders of magnitude compared to an exhaustive search in a refined computational grid.