Comprehensive Objective Optimization Analysis of Construction Projects under Multiobjective Particle Swarm Optimization

Abstract

Due to the future development of the construction industry towards the sustainable development direction of green, ecology, and safety in the future, the ultimate goal requirement of engineering projects will be higher, and the investment traditional objectives, time limit, and quality cannot meet the requirements of comprehensive management objectives. Therefore, safety and environmental management were added in this paper based on traditional management objectives from the perspective of the project owners, the relationship between objectives was analyzed, and an equilibrium optimization model of objectives was constructed. A series of Pareto optimal solutions were obtained by using multiobjective particle swarm optimization (MOPSO). Then, the best scheme was selected from the series solutions by using the efficiency coefficient method according to the specific requirements of project management. Finally, taking the objective comprehensive optimization management of a wind power project in Sichuan province as an example, 1000 paths are run by using a multitarget particle swarm algorithm, and the mean and standard deviation of the 1000 paths are calculated. The rationality of the model and the practicability of the multiobjective particle swarm optimization algorithm in the study of engineering project comprehensive optimization management were verified. It has realized the multiobjective optimization management of engineering projects and contributed to improving the quality of engineering management.