A Grasshopper Optimization-Based Approach for Task Assignment in Cloud Logistics

Table 1

Parameters for the model.

No.	Parameters	Clarification
1		Logistics tasks to be assigned on the CL platform,
2		Logistics service resources,
3		Decision variables, means task is conducted by resource ; or else,
4		Unit cost of resource conduct task
5		Time needed of resource conduct task
6		Expected time of task i to be finished
7		Quantity of task
8		Unit value of service objects relative to task i, meaning the market price for the relative goods
9		Rate of damages or mistakes of resource j to finish task i
10		Unit price of the logistics service to finish task i
11		Extent of impact that an information error will have on task i
12		The probability that an information error happens