Memetic reconstruction algorithm for the ECT.

The practical performance of the electrical capacitance tomography (ECT) instrument largely relies on the accuracy and robustness of the image reconstruction algorithm. Varying from the common imaging methods, in this study, a regularisation‐based loss function is proposed to transform the ECT imaging task into an optimisation problem, in which the least trimmed squares method is employed to measure the data fidelity, and the ℓp‐norm of the variables is used as the regulariser. An efficient memetic algorithm (MA) that constitutes of the monkey king evolution algorithm and the Fletcher–Reeves conjugate gradient method is developed for solving the proposed loss function. The numerical simulations reveal that the feasibility and robustness of the proposed MA lead to a series of satisfactory results in the ECT field. [ABSTRACT FROM AUTHOR]