Name
Title | ||
|---|---|---|
Research on the Visualization of Yak Population Optimization Model Based on Genetic Algorithm |
Abstract | ||
|---|---|---|
In recent years, sustainable economic development is a hot topic in various fields. The development of animal husbandry in Qinghai Tibet Plateau is the key industry in this region and the sustainable development of ecology, environment and economy is an urgent problem to be studied. This paper focuses on the visualization of the alpine meadow yak grazing model, shielding the internal implementation of the model and embedding the genetic algorithm, which greatly simplifies the process of solving the model, improves the possibility of new technologies being promoted in pastoral areas and provides a platform for subsequent research. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/FSKD.2018.8687170 | 2018 14th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD) |
Keywords | Field | DocType |
Genetic algorithm,Optimization of yak population,Visualization | Population,Environmental resource management,Computer science,Visualization,Emerging technologies,Artificial intelligence,Sustainable development,Machine learning,Genetic algorithm,YAK | Conference |
ISBN | Citations | PageRank |
978-1-5386-8098-8 | 0 | 0.34 |
References | Authors | |
0 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiaofeng Qin | 1 | 2 | 3.49 |
| Zijie Sun | 2 | 0 | 0.68 |
| Meiyun Du | 3 | 0 | 2.37 |
| Yu-an Zhang | 4 | 23 | 8.97 |
| Bingfeng Li | 5 | 1 | 1.36 |
| Rende Song | 6 | 0 | 1.35 |