Analysis Of Multi Objective Decision Optimization Model Of Construction Queue Based On Lyapunov Drift Plus Penalty Technology

At present,the construction management of construction projects is undergoing diversified changes with the development of cutting-edge science and technology strategy and the coverage of ecological energy policy.It is not only a new opportunity brought by technology update,but also a new challenge brought by ecological energy constraints.At present,artificial intelligence technology is in the hot period.Its main purpose is to realize the decision-making of social,work and life problems through computer combined with intelligent algorithm.Among them,multi-objective strategy optimization in construction period is one of the key research directions.Energy consumption and construction period have long been the hot issues concerned by experts and scholars in the construction industry.The benefits generated by the optimization of energy consumption and construction period are the long-term goals pursued by industry managers.However,the inevitable emergencies in the construction period will have different degrees of impact on energy consumption,construction period and its benefits.Therefore,under the premise of considering the random events during the construction period,the construction process operations are transformed into data transmission queues,and based on the Lyapunov optimization theory,a multi-objective optimization algorithm is designed to deal with the construction period.First of all,based on the research direction of this paper,consulting and sorting domestic and foreign literature and systematic comparative analysis,focusing on the trade-off relationship between multi-objective in construction period.Learn the applicable environment,working mechanism and parameter allocation of Lyapunov drift plus penalty algorithm.Master the simulation process of the calculation model,the operating environment of the related software and the preprocessing of the research data.Secondly,the theoretical framework and process indicative parameters of the queue multi-objective optimization model in the construction period are constructed to describe the process mechanism in the construction period,so as to construct the influence parameter b_i(t)of the random events in the construction period and define the influence level.Then,the mathematical models of energy consumption,duration and income in the construction period are constructed,and the data in the construction period are processed with the construction stage within unit t as the carrier.On the basis of the above process,Lyapunov quadratic function is introduced to enter the penalty stage after the drift process.The non negative penalty parameter V is introduced to construct the virtual construction queue,and the weighted and minimized multi-objective function is obtained.Finally,this study takes a construction project in Beidaihe District of Qinhuangdao as the test object,and carries out case simulation according to the contents of construction queue model.In order to express the modeling idea of randomness in construction period,the paper takes the weather factors in construction period as an example,and uses MATLAB and Python software to program and calculate the computer end,and carries out detailed simulation according to the simulation results analysis.