Name
Title | ||
|---|---|---|
Solving The Multi-Objective Optimization Model For Alpine Grassland Grazing With Modified Genetic Algorithms |
Abstract | ||
|---|---|---|
Three-Rivers District is an open complex ecosystem with alpine grassland characteristics, animal husbandry is the leading industry and the pillar of herders' production and life. In this paper, we established an optimization yak structure model for grazing yak in alpine grassland in Three-Rivers Source area, the solution process was simulated by genetic algorithm, and quantitatively analyzed the relationship between grassland ecosystem and livestock husbandry, finally obtained the optimum slaughtered structure of yak population. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/CISP-BMEI.2018.8633177 | 2018 11TH INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING, BIOMEDICAL ENGINEERING AND INFORMATICS (CISP-BMEI 2018) |
Keywords | Field | DocType |
Genetic algorithm, Multi-objective planning, Grazing optimization model | Population,Animal husbandry,Pattern recognition,Computer science,Grassland,Multi-objective optimization,Livestock,Artificial intelligence,Agroforestry,Genetic algorithm,Grazing,Ecosystem | Conference |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiaofeng Qin | 1 | 2 | 3.49 |
| Chen Zhang | 2 | 112 | 41.68 |
| Zijie Sun | 3 | 0 | 0.68 |
| Yu-an Zhang | 4 | 23 | 8.97 |
| Rende Song | 5 | 0 | 1.35 |
| Meiyun Du | 6 | 0 | 2.37 |