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With the rapid development of network real-time system, in order to achieve more efficient communication, the problem of network resource scheduling has been widely concerned by experts and scholars. The static scheduling table is an effective solution for configuring network resources, which is the focus of research in related fields at home and abroad. Since the advent of TTE (Time-Triggered Ethernet) in 2002, the solution method of TTE network static scheduling table has been improved and innovated because of different application fields and specific use scenarios. With the continuous optimization of various algorithms, the generating effect of static scheduling table is more and more ideal, but the scheme still can not be applied to engineering practice. This paper proposes to select Sparrow Search Algorithm (SSA) and add disturbance to the individual optimal position, which can significantly improve the convergence efficiency of fitness function, avoid falling into local optimal, and achieve the purpose of solving TTE static scheduling table.
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| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |
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