关键词: 花朵授粉算法, 中心随机替换, 多样性控制, 种群多样性

Abstract: Focused on the convergence rate of flower pollination algorithm is slow and is not easy to jump out of local optimum and has low search accuracy, according to the trajectory of flower pollination algorithm, the center random replacement strategy is proposed, to accelerate the speed of the search algorithm. At the same time, to improve the global search ability of the algorithm, the diversity control strategy is added to change the transition probability [p] dynamically, and the probability of global search is increased. Through the simulation experiments of 6 kinds of test functions, the algorithm reasonably maintains the diversity of the algorithm. Compared with other intelligent algorithms, the algorithm can have faster search speed and better optimization accuracy.

Key words: flower pollination algorithm, central random substitution, diversity control, population diversity