The wind-driven optimization (WDO) algorithm - projection pursuit (PP) water systems and coordination of economic and social ecosystem evaluation model was proposed, and the cuckoo search (CS) algorithm, differential evolution (DE) algorithm and particle swarm optimization (PSO ) were build an compared taking 16 cities in Yunnan Province as examples to study the water resources system and economic and social eco-system coordination degree. From the water resources, economic, social and ecological systems, 20 indicators were selected to build coordination degree evaluation index system between regional water resources system and economic and social ecosystem. Based on the mean and standard deviation of index series, 6 levels of coordination evaluation criteria, from “absolute coordination” to “very inconsistent” , were established. The WDO-PP, CS-PP, DE-PP and PSO-PP models were applied to evaluate and analyze the coordination degree of the examples. The results showed that, the fitness value and the best projection direction of the PP model were better than those of the CS, DE and PSO algorithms, and had good solution accuracy and global extremum ability. The WDO-PP model evaluated the coordination degrees of water resources system and economic and social ecosystem of Kunming, Yuxi, Nujiang, Dehong, Xishuangbanna and Diqing as “coordinated”, and the coordination degrees of other cities were “basicly coordinatied”. The results of WDO-PP model were the same as those of CS-PP and DE-PP models, but there were differences in the rankings. The differences between PSO-PP model and PSO-PP model indicated that the strength of the extreme value optimization ability of intelligent algorithms determined the level of accuracy.