The general layout design significantly impacts the economy and safety performance of an industrial park. In most of the previous works, safety issues are converted to economic numbers in objective functions. However, this conversion is not appropriate. In this work, a multi-objective optimization method is proposed to obtain a set of solutions that achieves different trade-offs between economy and safety. An improved FLUTE algorithm is employed to obtain the most economical pipe networks. An extended risk map method is proposed to describe the distribution of risk considering the uncertainty of weather conditions. The proposed model is compared with a single-objective method in one case study to show the superiority of the proposed method. In addition, three different evolutionary algorithms are employed to solve a second case for comparison. The results show that the non-dominated sorting genetic algorithm II (NSGA-II) is more effective for industrial facility layout problems with multi-objective.

总体布局设计会严重影响工业园区的经济和安全性能。在大多数以前的工作中，安全问题在目标函数中转换为经济数字。但是，这种转换是不合适的。在这项工作中，提出了一种多目标优化方法来获得一组解决方案，以实现经济性和安全性之间的不同权衡。一种改进的FLUTE算法用于获得最经济的管网。提出了一种扩展的风险图方法来描述考虑天气条件不确定性的风险分布。在一个案例研究中，将所提出的模型与单目标方法进行了比较，以证明所提出方法的优越性。另外，采用三种不同的进化算法来解决第二种情况进行比较。