Research of Improved Particle Swarm Optimization Algorithm Based on Big Data
Yanmin Wang · 2019
With the era of big data, the problems of data size and data optimization have become more diversified and complicated, thus the optimization method has become the focus of people's attention. However, the group intelligence algorithm is used to simulate the social biological groups in nature by using efficient optimization algorithms to solve practical problems in various fields. In this paper, an improved hybrid algorithm is proposed to overcome the shortcomings of complex optimization problems. Through the test of standard function, the convergence rate and convergence precision of the hybrid algorithm are both superior to the particle swarm optimization algorithm and Artificial Bee Colony algorithm.