A model of no-constraint two-objective land-use planning for chemical industry park was constructed by applying the theory of multi-objective optimization

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 vector evaluated genetic algorithm (VEGA).Some conclusions were made from this study: (1) The model and optimization method proposed in this paper were feasible and a part of Pareto-optimal solutions could be found and they had good reference values for land-use planning of chemical industry park.(2) The mode of coding and decoding in this paper was simple and intuitive and the transform problem between binary system and real number was avoided when the function values of chromosomes were calculated and they were propitious to designing and realizing the algorithm.(3) The non-dominated elimination operator introduced at the end of VEGA could help to peel off Pareto-optimal solutions from final solutions speedily.(4) The search power of VEGA was insufficient for this model and it was necessary to try using better algorithms.