Multi-objective Optimization Of Subway Construction Projects Based On Improved Genetic Algorithm

The problem of multi-objective optimization of engineering projects has always been a hotspot of project management research.In the process of engineering project management,how to maintain the balance between time,cost and quality,and don't attend to one thing and lose sight of another,is of vital importance to the economic benefits of enterprises.Metro TBM construction projects have large construction scale,high investment cost,and relatively long construction period,and are underground engineering constructions,which are not only affected by hydrogeological conditions and terrain conditions,but also by surrounding buildings(structures),underground pipelines,and large mechanical equipment factors such as the lifting and disassembly of the building,so it is necessary to strictly control the construction process of various construction procedures to ensure the smooth progress of the project.This article mainly studies the comprehensive optimization of the duration,cost and quality of subway projects under various construction organization methods.Each process adopts different construction organization methods.Due to the differences in manpower,equipment materials,construction methods,etc.in different ways,the cost The time,cost and quality achieved are also different,so how to quickly and accurately obtain the construction organization method combination solution set,so that the construction period,cost and quality are as optimal as possible,and provide decision-makers with a favorable choice The evidence is very important.In this paper,an improved genetic algorithm is used to solve the comprehensive optimization of the duration,cost and quality of subway projects.On the basis of reading a large number of references,the research work is mainly carried out from the following aspects:(1)Define the construction period,cost and quality objectives,and use the construction organization method as the decision variable to establish the construction period objective function,cost objective function and quality objective function respectively,and finally adopt the multi-objective optimization theory and each goal threshold specified by the decision maker Conditionally construct a multi-mode subway project project duration-cost-quality comprehensive optimization model.(2)Combining the basic principles of genetic algorithm and simulated annealing algorithm,and the easy integration of genetic algorithm with other algorithms,the annealing operation is added to genetic algorithm,which improves the shortcomings of genetic algorithm that is easy to premature and fall into local optimum,and finally uses the improvement Genetic algorithm solves the comprehensive optimization model of multi-mode subway project duration-cost-quality.(3)Using matlab software,combined with Changle Road Station ~ Inner Mongolia Road Station ~ Inner Sea TBM departure well right line section of Qingdao Metro Line 4,an example of improved genetic algorithm to solve the comprehensive optimization model of metro project project duration-cost-quality It is verified that the genetic algorithm selects,crosses,mutates,and anneals to accept the worst solution with a certain probability,and continuously evolves to obtain the optimal solution set.Finally,compared with the results of the basic genetic algorithm,the results show that the improved genetic algorithm has a faster convergence rate and a better solution,and provides a reasonable and scientific combination of construction organization methods for decision makers.The research in this paper provides a more scientific and reasonable plan choice in solving the multi-objective optimization problem of subway construction projects,and has a certain reference role for decision makers in the selection of engineering plans.