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Research on Multi-objective Optimization of Substation Project Management Based on Resource Constraint

机译：基于资源约束的变电站项目管理多目标优化研究

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With the rapid development of China’s economy, the electricity load continues to increase, the national demand for power engineering projects is also increasing.In the context of the gradual improvement of national requirements for substation projects, decision makers no longer only consider the optimal standards of project duration, cost and quality, but also the resources consumed in the construction and the degree of impact on the environment are important criteria for judging projects.However, in order to be environment-friendly and based on resource constraints, the project management of substation projects is becoming more and more complicated.In this paper, resource factors are added on the basis of the three classical indexes, and the optimal resource allocation of the project is realized under the condition of minimizing the adverse impact on the environment. The feasibility scheme of multi-objective optimization is obtained through particle swarm optimization algorithm.
机译：随着中国经济的快速发展，电力负荷继续增加，国家对电力工程项目的需求也在增加。在逐步提高国家对变电站项目的情况下，决策者不再考虑最佳标准 项目持续时间，成本和质量，也是建设中消耗的资源和对环境的影响程度是评判项目的重要标准。但是，为了环境友好且基于资源限制，变电站的项目管理 项目变得越来越复杂。在本文的基础上，资源因素根据三个经典指标添加，并在最小化对环境不利影响的条件下实现项目的最佳资源分配。 通过粒子群优化算法获得多目标优化的可行性方案。

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