Scheduling repetitive construction projects is a challenge due to computational complexity. The authors aim to construct a scheduling system to facilitate the optimization of such projects. First, they formulate a mathematical model of a project composed of any combination of units to be delivered in a fixed order or whose order is to be optimized. With ancillary variables added to the project network, the model proves simple enough to facilitate computations related to schedule optimization. A particle swarm optimization (PSO) algorithm with a unique method to prevent stagnation of the results is proposed to solve the bi-criteria schedule optimization problem. The resulting scheduling system is tested on an actual project to expand an intermodal terminal. The results point to the practical potential of the system. Complemented with a user-friendly interface, it is a ready scheduling support tool. Future research may include incorporating more optimization criteria and making the system risk-aware.

中文翻译：

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用于协调多部分建设项目的定制粒子群优化

由于计算复杂性，安排重复性建设项目是一个挑战。作者的目标是构建一个调度系统来促进此类项目的优化。首先，他们制定一个项目的数学模型，该项目由要按固定顺序交付或要优化顺序的单元的任意组合组成。通过将辅助变量添加到项目网络中，该模型足够简单，可以促进与进度优化相关的计算。提出了一种粒子群优化（PSO）算法来解决双标准调度优化问题，该算法具有防止结果停滞的独特方法。由此产生的调度系统在扩建联运码头的实际项目中进行了测试。结果表明了该系统的实际潜力。辅以用户友好的界面，它是一个现成的调度支持工具。未来的研究可能包括纳入更多的优化标准并使系统具有风险意识。