Boundary-condition-enhanced linear sampling method imaging based on genetic algorithm

An improved linear sampling method (LSM) based on genetic algorithm (GA) is proposed. The method aims to improve the accuracy of imaging in scenarios with sparse receiving antennas, where the number of available measurements is limited. In this paper, the boundary of the conductor target is optimized based on genetic algorithm to avoid the problem that the calculation results are sensitive to the initial iteration parameters. Numerical examples are reported to demonstrate the feasibility and capability of the proposed method with the improvement for reconstruction quality.