Research on Multi-Objective Optimization of Green Construction Projects Based on Genetic-Climbing Algorithm
Under the guidance of sustainable development strategy,low carbon economy is increasingly becoming the mainstream direction of world economic development,and green construction will undoubtedly become an important trend in the development of the construction industry.Therefore,on the basis of the three core objectives of schedule,cost and quality,which are the focus of traditional project management,this study takes the two objectives of safety and security as well as environmental protection into consideration,constructs a comprehensive optimization model of schedule-cost-quality-safety-environment,designs a genetic hill-climbing algorithm for solving the model,simulates the simulation through the case,and finally adopts entropy-weight-TOPSIS method to make a decision on the scheme.The results show that the model,solution algorithm and multi-objective optimization decision-making method constructed in this study are effective and practical,and can solve the multi-objective optimization problem of green construction projects.
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