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Evaluating the comprehensive performance of high standard farmland construction project has important significance in the implementation of high standard farmland planning and government decision-making. On the bases of particle projection pursuit model (PP) optimized with swarm optimization (PSO) algorithm, investigation data, maps and statistic data of land use were used to build the index system for comprehensive performance evaluation of high standard farmland construction project in Dianjiang County, Chongqing. The results showed that: 1) Compared with the situation before the construction of high standard farmland, the contiguous degree of cultivated land increased by 13.56% , which indicated the improvement of the agricultural land flat condition. After the construction of high standard farmland, arable land showed significant discreteness, and the rate of terraced field increased significantly. The road accessibility also increased by 25% , which showed the improvement of the agricultural production conditions. Spatial dispersion slightly increased and agglomeration effect appeared after the project implementation. Road hardening rate were high in the middle and low at two sides of the area after high standards farmland construction. Irrigation guarantee rate and ditch density were improved apparently after high standards farmland construction, and the improved area was closely related to the industrial structure and terrain conditions in the south. The vegetation coverage rate of farmland ecological environment kept remarkably discrete during the whole process of the project. The thickness of effective soil layer increased obviously, and its spatial distribution is quite related with road accessibility. There existed big dispersion in the improvement of multiple subjects’satisfaction that both individual satisfaction and corporation satisfaction were high in southern crane platform areas after the implementation. The spatial distribution of newly increased annual income was evenly distributed after the high standards farmland construction. 2) As for the comprehensive effect evaluation, the comprehensive effect of Class I production area, accounting for 53.26% of the area, was the best where the multiple subjects’ satisfaction was promoted, the agricultural condition, the farmland ecological environment and the agricultural land flat condition were all improved. The overall comprehensive effect of Class II area, taking 37.62% of the area, was the second where the projection values of the four subgoals matched the effect and comprehensive results will be significant after the completion of the project. The comprehensive effect of Class III area, taking 9.12% of the area, was relatively poor where the projection values of the four subsystems were relatively low. Comprehensive evaluation of high standard farmland construction should take unique regional characteristics into consideration, formulate scientific and reasonable evaluation plan, and orderly perform differential evaluation. [ABSTRACT FROM AUTHOR]