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提出了一种禁忌递阶遗传粒子滤波跟踪算法。结合禁忌搜索算法和递阶遗传算法提出一种禁忌递阶遗传算法,用递阶遗传算法作全局搜索,用禁忌搜索算法作局部搜索,该算法能在一定程度上克服早熟问题,避免收敛到局部最优点。仿真结果表明:该算法在大噪声条件下改善了粒子贫乏问题,提高了跟踪精度及速度。
A tabuistic Hierarchical Genetic Particle Filter tracking algorithm is proposed. A tabu search-and-order genetic algorithm is proposed based on tabu search and Hierarchical Genetic Algorithm (GA). Hierarchical genetic algorithm (GA) is used for global search and taboo search algorithm for local search. The algorithm can overcome the premature problem to a certain extent and avoid converging to local The best point. The simulation results show that the proposed algorithm can improve the particle-poor problem and improve the tracking accuracy and speed under the condition of large noise.