Tunicate Swarm Algorithm Based Difference Variation Flower Pollination Algorithm

Flower pollination algorithm is a novel meta-heuristic swarm intelligence optimization algorithm, for its problems of insufficient solution accuracy, slow convergence speed and low stability, the Tunicate swarm algorithm based difference variation flower pollination algorithm (TSA-DVFPA) is proposed in this paper. The simplified Tunicate swarm algorithm and the random selection strategy were introduced into the process of cross-pollination. The differential variation strategy has been applied to the local search of the algorithm iteration to increase the diversity of the population. The improvement is validated by 16 benchmark functions. Compared with other similar algorithms, the results show that the proposed algorithm has a certain improvement in the convergence speed and the accuracy of optimization.