Adaptive dynamic meta particle swarm optimization algorithm and application in 3D power pattern synthesis for conformal arrays

The adaptive dynamic Meta particle swarm optimization (ADMPSO) algorithm is proposed to apply in power patterns synthesis for conformal arrays. To begin, the dominated subgroup and nondominated subgroup are defined on the basis of traditional Meta particle swarm. Meanwhile, the adaptive dynamic modulating for multiple-subgroup is realized by introducing the downsizing of nondominated subgroup, and the expansion of dominated subgroup, which improves both the convergence speed and exploration ability significantly. Finally, based on the target fitness function built for power pattern synthesis in arbitrary arrays, ADMPSO algorithm has been used in synthesizing three dimensional (3D) power patterns for conical array, with all polarization fields considered.