A model of unconstrained two-objective land-use planning for chemical industry park was constructed applying the theory of multi-objective optimization in this paper and the two objectives were the minimum potential loss of life (PLL) and the maximum total benefit. The optimization process of the model was designed and realized based on non-dominated sorting genetic algorithm-II (NSGA-II) and vector evaluated genetic algorithm (VEGA). Some conclusions were made from this study: (1) The model of unconstrained two-objective land-use planning for chemical industry park proposed in this paper was feasible and NSGA-II that adopted optimization method was effective and all Pareto-optimal solutions could be found. (2) These corresponding land-use patterns had good reference values for land-use planning of chemical industry park.