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.

中文翻译：

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多目标粒子群优化下建设项目综合目标优化分析

由于未来建筑业向绿色、生态、安全的可持续发展方向发展，工程项目的最终目标要求会更高，投资传统目标、工期、质量都无法满足全面管理目标的要求。因此，本文从项目业主的角度在传统管理目标的基础上，增加了安全与环境管理，分析了目标之间的关系，构建了目标均衡优化模型。利用多目标粒子群优化（MOPSO）得到一系列帕累托最优解。然后，根据项目管理的具体要求，采用效率系数法从系列解决方案中选出最佳方案。最后以四川某风电项目的客观综合优化管理为例，采用多目标粒子群算法运行1000条路径，计算1000条路径的均值和标准差。验证了模型的合理性和多目标粒子群优化算法在工程项目综合优化管理研究中的实用性。实现了工程项目的多目标优化管理，为提高工程管理质量做出了贡献。以四川某风电项目客观综合优化管理为例，采用多目标粒子群算法运行1000条路径，计算1000条路径的均值和标准差。验证了模型的合理性和多目标粒子群优化算法在工程项目综合优化管理研究中的实用性。实现了工程项目的多目标优化管理，为提高工程管理质量做出了贡献。以四川某风电项目客观综合优化管理为例，采用多目标粒子群算法运行1000条路径，计算1000条路径的均值和标准差。验证了模型的合理性和多目标粒子群优化算法在工程项目综合优化管理研究中的实用性。实现了工程项目的多目标优化管理，为提高工程管理质量做出了贡献。验证了模型的合理性和多目标粒子群优化算法在工程项目综合优化管理研究中的实用性。实现了工程项目的多目标优化管理，为提高工程管理质量做出了贡献。验证了模型的合理性和多目标粒子群优化算法在工程项目综合优化管理研究中的实用性。实现了工程项目的多目标优化管理，为提高工程管理质量做出了贡献。