title: Inversion for Refractivity Parameters Using a Dynamic Adaptive Cuckoo Search with Crossover Operator Algorithm.
abstract: Using the RFC technique to estimate refractivity parameters is a complex nonlinear optimization problem. In this paper, an improved cuckoo search (CS) algorithm is proposed to deal with this problem. To enhance the performance of the CS algorithm, a parameter dynamic adaptive operation and crossover operation were integrated into the standard CS (DACS-CO). Rechenberg's 1/5 criteria combined with learning factor were used to control the parameter dynamic adaptive adjusting process. The crossover operation of genetic algorithm was utilized to guarantee the population diversity. The new hybrid algorithm has better local search ability and contributes to superior performance. To verify the ability of the DACS-CO algorithm to estimate atmospheric refractivity parameters, the simulation data and real radar clutter data are both implemented. The numerical experiments demonstrate that the DACS-CO algorithm can provide an effective method for near-real-time estimation of the atmospheric refractivity profile from radar clutter.
authors.affiliation: Department of Space and Remote Sensing, College of Meteorology and Oceanography, PLA University of Science and Technology, Nanjing 211101, China.
authors.forename: Zhihua
authors.initials: Z
authors.lastname: Zhang
authors.affiliation: Department of Space and Remote Sensing, College of Meteorology and Oceanography, PLA University of Science and Technology, Nanjing 211101, China.
authors.forename: Zheng
authors.initials: Z
authors.lastname: Sheng
authors.affiliation: Department of Space and Remote Sensing, College of Meteorology and Oceanography, PLA University of Science and Technology, Nanjing 211101, China.
authors.forename: Hanqing
authors.initials: H
authors.lastname: Shi
authors.affiliation: Department of Space and Remote Sensing, College of Meteorology and Oceanography, PLA University of Science and Technology, Nanjing 211101, China.
authors.forename: Zhiqiang
authors.initials: Z
authors.lastname: Fan
mesh_terms: D000465:Algorithms; D000818:Animals; D001522:Behavior, Animal; D001717:Birds / Q000502:physiology*; D003198:Computer Simulation; D000066506:Heuristics; D008962:Models, Theoretical; D017711:Nonlinear Dynamics