| With the development of science and technology, project management problem widely in society. Enterprise project management requirements for more and more is also high, effectively plan and control the process, resources, task is to ensure that the project time three variables are the key to success. In the actual production environment, in the actual project scheduling, considering several index, index of evaluation on a difficult. Scheduling Besides uncertain factors often leads to project scheduling cannot predetermined plan normal execution and in actual project scheduling, the pursuit of multiple optimal expected goals and project itself uncertain factors in the project, to complicate the multi-objective fuzzy project scheduling problem.In the whole project scheduling to be more objective function, and in multiobjective optimization, the conflict between the target, impossible to make all goals are optimal solution, so only for one of these targets compromise the optimal solution or satisfied solution. But now, the multi-objective project scheduling the research of this aspect is still not find a good solution.Based on fuzzy multiobjective optimization problems and project scheduling and fuzzy theory research, mainly for fuzzy delivery and fuzzy time these two aspects. By fuzzy mathematics theory established multi-objective fuzzy mathematical model, the project scheduling heuristic algorithm by using the genetic algorithm and the objective function, the minimum total duration and objective function's work completion time of delivery and minimum value for optimizing targets, design a kind of double chain structure of the improved genetic algorithm to solve the problem. To realize the function optimization, make customer satisfaction is improved. Finally cited examples verifies the feasibility of the algorithm, and two intelligent algorithm and heuristic method algorithm finally function values closer to the target, but no more genetic algorithm.
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