5.2.2. Resource Supply Data Processing

All detailed engineering data on the resource supply were obtained from a hydropower project construction company in the watershed project. In a transportation network, the transportation of various resources is accompanied by the entire construction cycle. The entire transportation network can be divided into four supply and two demand points, and three shared resources can be transported from any supply to any demand point.

The maximum resource capacities of the four supply points were 723.4 × 104 m3, 581.7 × 104 m3, 528.3 × 104 <sup>m</sup>3, and 790.2 × 104 m3. The maximum resource capacity of

the two demand points was 15 × <sup>10</sup><sup>4</sup> m3. The project used dump trucks to transport three resources along different routes between different supply and demand points. The unit transport cost and time data for each resource are presented in Table 5.


**Table 5.** Unit transportation cost and time of resources.

#### *5.3. Selection of Algorithm Parameters*

These parameters are controllable factors that affect the convergence, effectiveness, and efficiency of the algorithm. To determine the most appropriate parameters, preliminary experiments and comparisons must be performed under different parameter settings. Herein, a fuzzy logic controller is used to automatically adjust the mutation rate of each generation, and the initial mutation rate is set as *pm*(0) = 0.1. The inertia weight is adjusted with iteration according to equation (28), and previous studies [35] reveal that *ω*(1) = 0.9 and *ω*(*T*) = 0.1 are the most appropriate. The Taguchi method [36] was used to adjust the other parameters. Finally, the corresponding algorithm parameters were selected, as listed in Table 6.

**Table 6.** Hybrid algorithm parameter setting.

