Abstract: Land use zoning was discussed in this paper based on multi-objective optimization. Constraint indices system of land use zoning was constructed, and four objective functions were comprised of the largest difference among zones and the strongest similarity in zone, the higher connectivity among zones, the maximization of land use efficiency and the best land suitability. Three types of constraint conditions that include the minimum area on the map ,the area of land use zone and the regulation of conversion of land use are also considered. Model of land use zoning based on the multi-objective particle swami optimization algorithm was proposed to solve the multi-objective optimization problem. Detailed descriptions of the algorithm, coding scheme, the mechanism and operator of state updating are given in this paper. At last, take the city of YiCheng in Hubei province as a case study, the results showed that the model presented was effective and feasible.