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A dendrite net learning multi-objective artificial bee colony algorithm for UAV
DOI:10.1016/j.asoc.2025.114449.png)
摘要
En 中文
• 设计了一种树突网络模型,以引导蜂群中蜜蜂的搜索。
• 将改进的差分进化策略集成到人工蜂群算法中。
• 提出了一种基于树突网络的改进人工蜂群路径规划器。
期刊
IF:
6.6
论文数:
1.4W
被引数:
4.8W
机构
引用论文
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UAV Path Planners in Complex Environments: A Multi-Dimensional Perturbation Based on Artificial Bee Colony复杂环境下的UAV路径规划器:基于人工蜂群的多维扰动
IEEE Access
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Efficient path planning for UAV formation via comprehensively improved particle swarm optimization基于综合改进粒子群算法的无人机编队高效航迹规划
ISA TRANSACTIONS
IF6.5

