Adaptive Flower Pollination Algorithm Based on Spatial Dispersal

An adaptive flower pollination algorithm (AFPA) is evolved with respect to the accuracy and stability performance. AFPA is developed by modifying both global and local search operators. The exploration and exploitation abilities of the algorithm are thus improved by integrating a spatial dispersal mechanism adapting with the number of iterations to the global search and the best solution to the local search. Its performance is well corroborated through several benchmark functions with respect to various measuring parameters. AFPA is exhibited the distinguished accuracy and stability performance better than FPA for most benchmark functions. The obtained results show that AFPA has the better global and local search abilities over FPA.