科技通报
科技通報
과기통보
BULLETIN OF SCIENCE AND TECHNOLOGY
2014年
9期
94-96,138
,共4页
施工进度计划%多目标优化%多目标遗传算法%目标函数
施工進度計劃%多目標優化%多目標遺傳算法%目標函數
시공진도계화%다목표우화%다목표유전산법%목표함수
construction schedule%multi- objective optimization%multi- objective genetic algorithm%objective function
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。
為使工程施工進度實現最優化,使進度計劃方案更為科學閤理,可以在施工計劃製定的過程中融入多目標遺傳算法。首先對多目標優化和多目標遺傳算法數學模型進行瞭詳細闡述,接著從最小費用、最短工期和最佳質量三箇方麵建立多目標工程施工進度目標函數,最後採用實例倣真,驗證多目標遺傳算法在施工進度計劃製定的性能。實驗證明,採用該方法能較好地求解施工進度目標函數最優解,而且能提供多種優化方案,具有較高的研究價值。
위사공정시공진도실현최우화,사진도계화방안경위과학합리,가이재시공계화제정적과정중융입다목표유전산법。수선대다목표우화화다목표유전산법수학모형진행료상세천술,접착종최소비용、최단공기화최가질량삼개방면건립다목표공정시공진도목표함수,최후채용실례방진,험증다목표유전산법재시공진도계화제정적성능。실험증명,채용해방법능교호지구해시공진도목표함수최우해,이차능제공다충우화방안,구유교고적연구개치。
In order to optimize the construction schedule, make a more scientific schedule plan and apply multi-objective genetic algorithm into construction schedule planning process. Firstly, We elaborate on the multi-objective optimization mathematical model and multi-objective genetic algorithm. Then, establish multi- objective engineering construction progress from the following three aspects: the minimum cost, the shortest duration and the best quality. Finally, using the simulation to test the performance that multi-objective genetic algorithm in construction schedule plan. The experiments pshows that we can well solve the construction schedule objective function optimal solutions through this method, apart from this, it can offers a variety of optimization scheme, which has a high research value.