通过增强的粘液模具算法与蜂自动机器人优化猪清洁机器人的路径规划
Yong Peng Duan1, Ya Zhi Yang2, Yue Cao1
1School of Information Science and Engineering, Shanxi Agricultural University, Taigu, China.
Animal science journal = Nihon chikusan Gakkaiho
|September 22, 2024
概括
一个新的细胞自动化粘液模具算法 (CASMA) 优化了猪场的机器人便清洁器路径. 这提高了效率,减少了清洁时间,即使是随机移动的猪.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 人工智能的人工智能
- 农业工程 农业工程
背景情况:
- 机器人便清理机器人由于猪的随机分布,在路径规划方面面临着挑战.
- 有效的路径规划对于最大限度地降低处理成本和时间,同时避免碰撞至关重要.
研究的目的:
- 开发一种增强的算法,用于猪养殖中机器人便清洁器的最佳路径规划.
- 为了提高路径查找算法的融合速度和搜索准确性.
主要方法:
- 介绍细胞自动机细胞邻里相互作用.
- proposing and implementing the Cellular Automata Slime Mold Algorithm (CASMA) proposing and implementing. 提议和实施细胞自动化粘液模具算法 (CASMA). 关于细胞自动化粘液模具算法 (CASMA) 的建议和实施. 关于细胞自动化粘液模具算法 (CASMA) 的建议和实施.
- 对CASMA与ACO,FA,PSO,WPA,A*和TS算法的比较分析.
主要成果:
- 与其他元启发算法相比,CASMA的平均步骤消耗降低了8.03%,处理时间降低了20.11%.
- 在动态障碍场景中,CASMA比A*和TS分别节省了48.27%和56.28%的时间.
- 在复杂和动态的猪场环境中,CASMA表现出卓越的性能.
结论:
- CASMA显著提高了猪场便清理机器人的效率.
- 算法的处理随机障碍的有效性提高了运营性能.
- 提高效率通过及时和有效的清洁,有助于改善动物福利.
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