An Improved Cuckoo Search Algorithm
Runyu Zheng · 2021
Swarm intelligence optimization algorithm is a new type of optimization algorithm, which connects individuals into groups through team cooperation, generates swarm intelligence, and to solve practical problems. Cuckoo search algorithm is one of the typical swarm intelligence algorithms. It has the characteristics of high efficiency and simple implementation, but it has the problems of slow convergence speed and low accuracy. To overcome these shortcomings, this paper proposes a cuckoo search algorithm based on multi nest update, which uses three better nests to update other nests, so as to improve the optimal value accuracy and convergence speed of the algorithm. Experimental results show that the performance of the improved cuckoo search algorithm is significantly improved compared with the original algorithm.