关键词: 花授粉算法, 时变因子, 差分进化策略, 变参双适应值比较法, 压力容器设计

Abstract: Though flower pollination algorithm is very efficient in solving optimization problems, it can become slow in convergence. To overcome this, a different evolution flower pollination algorithm with a time variant factor（TVDFPA） is presented to enhance the rate of convergence. With the incorporation of the differential evolution strategy in the iterative process, the proposed approach can improve the convergence speed and optimization capabilities. The TVDFPA has been tested using a diverse subset of standard functions, and the simulation results show that the optimization ability of the improved algorithm is significantly better than those of the basic Flower Pollination Algorithm（FPA）, Flower Pollination Algorithm based on Simulated Annealing（SFPA）, Hybridization of Flower Pollination algorithm with Chaotic Harmony Search algorithm（HFPCHS）. Then, the hybrid TVDFPA and double fitness value comparison method with variable parameter has been used to solve the problem of pressure vessel designs. Experimental results show that the improved algorithm has better performance.

Key words: Flower Pollination Algorithm（FPA）, time variant factor, differential evolutionary strategies, double fitness value comparison method with variable parameter, pressure vessel design