Research on Convergence of Artificial bee colony algorithm based on crossover and consistency distribution–good point set
Pinghua Zhang · IOP Conference Series Earth and Environmental Science · 2020
Abstract A new artificial bee colony (ABC) algorithm based on crossover and consistency distribution–good point set is proposed. In the iterative search process, we use the consistency distribution and good point set principle of number theory to establish the initialization model of the algorithm, thereby ensuring the uniform distribution of the population in the search space. The location is updated iteratively to maintain the diversity of the population and prevent the algorithm from falling into the local optimum. Finally, the method that the artificial bee colony algorithm improved by consistency distribution-good point sets is proven and it conforms to Markov process from the point of view of number theory, thus proving the convergence of the algorithm.