期刊
SCIENTIFIC REPORTS
卷 6, 期 -, 页码 -出版社
NATURE PORTFOLIO
DOI: 10.1038/srep30401
关键词
-
资金
- Wellcome Trust [BB/F52765X/1]
- Biotechnology and Biological Sciences Research Council (BBSRC)
- Engineering and Physical Sciences Research Council (EPSRC)
- Fyssen Foundation
- IDEX of the Federal University of Toulouse (Starting and Emergence schemes)
- CNRS
- ERC Advanced Grant (SpaceRadarPollinator)
- Royal Society Wolfson Research Merit Award
- Rothamsted Research, a national institute of bioscience - UK Biotechnology and Biological Sciences Research Council (BBSRC)
- ERC Grant
- Biotechnology and Biological Sciences Research Council [BB/F52765X/1] Funding Source: researchfish
- BBSRC [BB/F52765X/1] Funding Source: UKRI
Simulated annealing is a powerful stochastic search algorithm for locating a global maximum that is hidden among many poorer local maxima in a search space. It is frequently implemented in computers working on complex optimization problems but until now has not been directly observed in nature as a searching strategy adopted by foraging animals. We analysed high-speed video recordings of the three-dimensional searching flights of bumblebees (Bombus terrestris) made in the presence of large or small artificial flowers within a 0.5m(3) enclosed arena. Analyses of the three-dimensional flight patterns in both conditions reveal signatures of simulated annealing searches. After leaving a flower, bees tend to scan back-and forth past that flower before making prospecting flights (loops), whose length increases over time. The search pattern becomes gradually more expansive and culminates when another rewarding flower is found. Bees then scan back and forth in the vicinity of the newly discovered flower and the process repeats. This looping search pattern, in which flight step lengths are typically power-law distributed, provides a relatively simple yet highly efficient strategy for pollinators such as bees to find best quality resources in complex environments made of multiple ephemeral feeding sites with nutritionally variable rewards.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据