基于多目标遗传算法的工程施工进度计划优化研究  

Research of Engineering Construction Schedule Optimization Based on Multi-objective Genetic Algorithm

作　　者：李竞克[1] 侯琳[1] 

机构地区：[1]河南建筑职业技术学院,郑州450064

出　　处：《科技通报》2014年第9期94-96,138,共4页Bulletin of Science and Technology

摘　　要：为使工程施工进度实现最优化,使进度计划方案更为科学合理,可以在施工计划制定的过程中融入多目标遗传算法。首先对多目标优化和多目标遗传算法数学模型进行了详细阐述,接着从最小费用、最短工期和最佳质量三个方面建立多目标工程施工进度目标函数,最后采用实例仿真,验证多目标遗传算法在施工进度计划制定的性能。实验证明,采用该方法能较好地求解施工进度目标函数最优解,而且能提供多种优化方案,具有较高的研究价值。In order to optimize the construction schedule, make a more scientific schedule plan and applymulti-objective genetic algorithm into construction schedule planning process. Firstly, We elaborate onthe multi- objective optimization mathematical model and multi- objective genetic algorithm. Then,establish multi- objective engineering construction progress from the following three aspects： theminimum cost, the shortest duration and the best quality. Finally, using the simulation to test theperformance that multi- objective genetic algorithm in construction schedule plan. The experimentspshows that we can well solve the construction schedule objective function optimal solutions through thismethod, apart from this, it can offers a variety of optimization scheme, which has a high research value.

关 键 词：施工进度计划 多目标优化 多目标遗传算法 目标函数 

分 类 号：TU723[建筑科学—建筑技术科学]