A Greedy Initialization-Based Genetic Algorithm for Sampling Optimization

In this paper, a greedy initialization-based genetic algorithm is proposed for unit-norm tight frame sampling design in spherical near-field measurements. Since the optimization criterion with respect to sampling positions constitutes a nonconvex problem, a two-stage optimization strategy is employe... View More