Multi-Objective Cost Optimization Of Highway Engineering Based On Particle Swarm Optimization

In the process of traditional highway engineering project management,engineering cost,project progress and project quality are unified as the three main control objectives of Engineering construction,which is also the main subject of highway engineering research.However,with the continuous improvement of engineering management system and requirements,the focus in this field is also expanding.Engineering safety management has been paid more attention by society and enterprises,and environmental protection has become a prerequisite for economic development.Therefore,in the course of this research,the project safety goal,the project environmental protection goal and the three main control objectives are considered together in order to obtain a more suitable cost optimization model of highway engineering through multi-objective optimization in the analysis of the five main control objectives.In this paper,the main control objectives are analyzed to determine the internal relationship between them.Firstly,the marginal effect theory in economics is applied,and the power function is used to express the time-cost relationship of the process.The time-cost model is established,which improves the shortcomings of the traditional model.Secondly,by classifying the quality cost and referring to the relevant results and models,the quality-cost target model is established.On the basis of analyzing the previous quality time limit model,the whole project time limit is divided and analyzed,and the relationship model between process time limit and process quality level is obtained.According to the quality level coefficient of the process as a link,the quality objective model between the quality cost and the construction period is established.Thirdly,using the method of system reliability,the concept of process safety level index is introduced,and the relationship between safety and duration is expressed by logarithmic function,and a safety-duration model is established.Based on the improvement of the safety cost rate model,the safety cost model is obtained.Combining the above two models,a safety cost model with safety level coefficient as a link is established.Finally,the relationship between environment and time limit is expressed by using factor analysis method and mathematical linear function relationship,and the environment-time limit model is established.On the basis of classifying the construction environmental cost and referring to the safety cost model,the environmental cost model is obtained.A comprehensive environmental cost model is established with the environmental level coefficient as the link.Through the analysis of each sub-objective model,the comprehensive objective optimization model of cost-duration-quality-safety-environmental protection is obtained.In this paper,based on the establishment of multi-objective comprehensive optimization model,through the comparative analysis of traditional multi-objective solving methods,multi-objective particle swarm optimization is used to solve multi-objective problems.Ordinary particle swarm optimization(PSO)is easy to fall into local optimum when solving multi-objective problems.In order to solve this problem,a multi-objective particle swarm optimization(MPSO)algorithm with inertia weight and optimal solution evaluation and selection method is adopted.In this paper,Ackley function and Rastrigin function are used to test the validity and accuracy of the algorithm.Taking a construction enterprise in Guizhou as a case study,this paper collects,collates,models and solves the case to get a more reasonable construction combination mode.In the case of meeting each goal,the minimum cost is obtained,and the overall result is ideal.