Research on construction schedule optimization model based on particle swarm optimization algorithm

Construction schedule optimization is an important research topic in project management. In the actual construction process, reasonable resource scheduling is conducive to construction management, can improve the economic benefits of the responsible unit, and has a vital role. However, traditional resource optimization methods are mainly based on mathematical analysis and heuristic algorithms, which have problems such as low efficiency, limited generalization ability, complex calculation principles, and high requirements for professional knowledge and work experience. To solve these problems, a research idea of using intelligent algorithms and engineering network planning principles to solve resource optimization problems is proposed.