Lanzhou City District Two Blocks Construction Engineering Projectschedule Optimization And Control

At present, most of the construction engineering project management problems are mainly concentrated in schedule and cost objectives cannot be better coordinated balanced optimization, in order to achieve the optimal total project, the construction project construction cost is the most economical requirements; This article was based on this consideration, which formed in the first place, mostly to every construction project construction process of each construction activity schedule and cost as a research object,using the basic theory for the construction project progress plan, gradually establish a about construction project progress and cost balance optimization mathematical model, and then introduces an improved algorithm based on ant colony genetic algorithm parse the solution of such a precise mathematical model of optimization, This paper mainly from the following several chapters on account of the:(1) based on the theory of basic construction project progress [covers the time limit for a project plan, schedule optimization theory and schedule optimization method and the control idea] and artificial intelligence algorithm of ant colony genetic algorithm(ant colony algorithm, genetic algorithm, ant colony genetic algorithm and ant colony genetic algorithm)after studied hard has carried on the system analysis, from the basic theory of the whole theoretical framework on schedule and ant colony optimization genetic algorithms have a clear understanding and the understanding to master.(2) through the analysis about the progress and cost of construction project optimization of a series of problems(the actual total project schedule lag time schedule in the contract, or the total project schedule to the contract time limit for a project, but the total cost overruns contract cost problem, etc.) and its influencing factors, according to the actual situation of the project and the project schedule management problems that exist in the targeted equilibrium optimization mathematical model was put forward a scientific and reasonable; Applied to the mathematical model of linear algebra, return to algebra, etc.(3) this chapter mainly around the construction of the project schedule and cost balance optimization as the goal, the improved algorithm of genetic algorithm by using improved ant colony optimization to mathematical equilibrium about construction project optimization model, analyze the construction engineering project schedule and cost balance optimization of the optimal solution, by solving the mathematical model of the process of the optimal solution to verify the performance of ant colony genetic algorithm.(4) in lanzhou district two blocks construction engineering project as an example, bylooking for construction contract for construction project schedule and decomposition of scientific progress plan and corresponding cost information, sorting out the new district in lanzhou 2 blocks each construction project schedule and cost of the construction task goal,and then respectively by the method of double code network plan and the improved ant colony genetic fusion algorithm in lanzhou district two blocks construction engineering project schedule and cost balance for the optimal solution to solve the optimization problem,and then through the two kinds of algorithm about the cost of project schedule and the optimal solution of the data, and found an improved algorithm based on ant colony genetic algorithm in the aspect of construction engineering project progress plan optimization advantage more prominent double code network diagram, and ant colony genetic algorithm in terms of its cost optimization and further optimization of the space, and to be perfect in future studies,facilitating the popularization and application of late.(5) in order to achieve and consolidate the new district in lanzhou 2 blocks construction engineering project schedule and cost balance optimization goal, and formulated a series of progress control measures and security plan; Measures are mainly from the organization safeguard measures, technical measures, information and contract management measures and response to control four aspects, such as economic rewards and punishments measures.