Abstract: A method of dynamic and multiobjective programming for land sustainable utilization is suggested based on genetic algorithm in combination with multiobjective fuzzy optimization. The logical approaches comprise of: (1) building time series based on careful analyzing of land utilization system, (2) setting up land use pattern variable and determining optimizing goal and the restriction condition from present situation, (3) applying grey GM (1,1) to predict parameters needed by the model, (4) studying pareto noninferior desegregations by genetic algorithm, and (5) seeking optimum planning decision array from pareto desegregations by means of principle of maximum dominance. An instance of sustainable land use planning in Zigong region passing through time slicing 2010, 2015 and extending into 2020 shows that the genetic algorithm integrated in multiobjective fuzzy optimum dynamic programming is conductive to solve the multiobjective coordination by providing with more choice schemes that in the meantime also helps to make much more flexibility and expedience to public participants in the process of planning. All procedures which produce outcomes of planning take consideration of characters of scientificalness, feasibility and maneuverability.

Key words: multiobjective, land sustainable utilization, genetic algorithm, fuzzy dynamic planning