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中文摘要：
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。
英文摘要：
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.
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Dynamic Reentrant Scheduling Simulation for Assembly and Test Production line in Semiconductor Indus
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