Abstract: A multi-objective optimization method for tasks scheduling of large-scale engineering project is proposed.In the method，a multi-objective programming model is established with the objective to minimize the completion time and total expenses and to maximize the total quality of the project.Considering the model’s characteristic of multi-vary，multi-restriction and large solution space，a hybrid algorithm named improved ant colony algorithm based on adaptive mutation probability and simulated annealing thought is proposed.The application in a large-scale engineering project tasks assignment example validates the correctness and effectiveness of the method.

摘要： 提出了一种大型工程项目任务多目标优化调度方法。构建了一种以项目工期最小化、费用最小化及质量最大化为目标函数的多目标优化模型；针对模型的多变量、多约束、大组合量特点，提出了一种基于自适应变异和模拟退火思想的改进蚁群算法。将模型和算法在某大型工程项目任务调度中加以应用，验证了所提出的优化调度方法的正确性和有效性。