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在中心引力算法的设计中,较大的种群规模能提高最优解的精度,但会降低个体的搜索空间.针对中心引力算法提出了一种自适应控制种群的中心引力算法,在算法的运行过程中,根据算法的表现使每一代增大或减小种群的规模.将聚类算法和佳点集算法融合到增加删除算子中,使得算法可以自适应地兼顾有效性和多样性.数值结果表明,新算法在求解精度和收敛速度上不弱于对比算法.
In the design of center gravitational algorithm, larger population size can improve the accuracy of the optimal solution, but it will reduce the search space of individuals.Aiming at the gravity center algorithm, an adaptive gravitation control algorithm is proposed, In the process, according to the performance of the algorithm, each generation increases or decreases the size of the population.The clustering algorithm and the good point set algorithm are combined to increase delete operator so that the algorithm can adaptively take into account the validity and diversity The numerical results show that the new algorithm is not weaker than the contrast algorithm in solving the accuracy and convergence speed.