Time-cost Optimization Of Improved Heuristics Based On Fuzzy Theory

Time-cost optimization has always been an important aspect of construction project management and control,which can make the planning of each process reasonable to maximize engineering benefits.Traditional time-cost optimization is based on CPM network,but there are few studies on time-cost optimization of DCPM network planning technology which is more convenient for management,decision-making and optimization.Therefore,this paper discusses the time-cost optimization solution of DCPM.In the DCPM network,by analyzing the problems and causes found in the traditional heuristics research,it is improved and a new heuristic method is formed.In addition,the application of fuzzy theory in CPM network is analogized.In DCPM network,the fuzzy theory is introduced to fuzzify the duration of the process.Through the discussion of the fuzzy theory,the calculation formula of zero total time difference is defined for the key work with zero total time difference,and the time parameters are calculated by programming with MATLAB.Through the fusion fuzzy theory and the improved heuristic method,a new method for solving the fuzzy DCPM project-cost optimization problem is established,and the operation of the new method is realized by the program compiled by MATLAB,and the probability of completion of the construction period is represented by the probability representation method.Finally,it combines specific cases to solve and analyze.The MATLAB program can not only solve the corresponding time parameters and optimal results of the optimization process,but also obtain the solution steps of the whole optimization decision-making process.The analysis and comparison of optimization results also prove the feasibility and superiority of the new method.On the basis of traditional heuristic method for solving DCPM problem,a more accurate,thorough and comprehensive method for dealing with DCPM problem is formed by improving it and adding relevant contents of fuzzy theory.On the one hand,it can solve the problems of incomplete optimization,incomplete optimization and inaccurate results of traditional heuristic methods;on the other hand,after considering many uncertainties,the optimization results are more similar to the actual situation and more convincing.To a certain extent,it also provides a new method,new ideas and new inspiration for solving the time-cost optimization problem of fuzzy DCPM network.