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面向环境探测的多智能体自组织目标搜索算法 被引量:3
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作者 吴莹莹 丁肇红 +2 位作者 刘华平 赵怀林 孙富春 《智能系统学报》 CSCD 北大核心 2020年第2期289-295,共7页
针对在复杂非结构化环境下如何协调多个无人机发现静态或动态目标的问题,建立了自组织目标搜索算法框架。结合磁探仪等效平均探测宽度模型,受昆虫协调方式和鸟群效应的生物机制启发,提出了基于仿生集群算法的无人机集群分布式目标搜索模... 针对在复杂非结构化环境下如何协调多个无人机发现静态或动态目标的问题,建立了自组织目标搜索算法框架。结合磁探仪等效平均探测宽度模型,受昆虫协调方式和鸟群效应的生物机制启发,提出了基于仿生集群算法的无人机集群分布式目标搜索模型;采用改进的自适应差分进化算法帮助无人机集群模型在环境中平衡勘探和探索,实现无人机群体的协同搜索优化。该自组织目标搜索算法旨在以最短时间实现跟踪目标数量的最大化。基于仿真平台的实验测试了该策略的性能,验证了算法对具有未知目标的非结构化复杂环境的适用性。 展开更多
关键词 自组织算法 目标搜索 差分进化 仿生集群 无人机 非结构化环境 鸟群效应 动态目标
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Road induced edge effects on a forest bird community in tropical Asia 被引量:2
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作者 Daphawan Khamcha Richard T.Corlett +3 位作者 Larkin A.Powell Tommaso Savini Antony J.Lynam George A.Gale 《Avian Research》 CSCD 2018年第2期123-135,共13页
Background: Edge effects cause changes in bird community richness, abundance, and/or distribution within a landscape, but the avian guilds most influenced can vary among regions. Although Southeast Asia has the highes... Background: Edge effects cause changes in bird community richness, abundance, and/or distribution within a landscape, but the avian guilds most influenced can vary among regions. Although Southeast Asia has the highest rates of deforestation and projected species loss, and is currently undergoing an explosive growth in road infrastructure, there have been few studies of the effects of forest edges on avian communities in this region.Methods: We examined avian community structure in a dry evergreen forest in northeastern Thailand adjacent to a five-lane highway. We evaluated the richness and abundance of birds in 11 guilds at 24 survey points on three parallel transects perpendicular to the edge. At each point, 10-min surveys were conducted during February-August 2014 and March-August 2015. Vegetation measurements were conducted at 16 of the bird survey points and ambient noise was measured at all 24 survey points.Results: We found a strongly negative response to the forest edge for bark-gleaning, sallying, terrestrial, and understory insectivores and a weakly negative response for arboreal frugivore-insectivores, foliage gleaning insectivores, and raptors. Densities of trees and the percentage canopy cover were higher in the interior, and the ambient noise was lower. In contrast, arboreal nectarivore-insectivores responded positively to the forest edge, where there was a higher vegetation cover in the ground layer, a lower tree density, and a higher level of ambient noise.Conclusion: Planners should avoid road development in forests of high conservation value to reduce impacts on biodiversity. Where avoidance is impossible, a number of potential mitigation methods are available, but more detailed assessments of these are needed before they are applied in this region. 展开更多
关键词 Road edge Avian guilds Dry evergreen forest Thailand
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