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A survey on sparrow search algorithms and their applications
J Xue, B Shen - International Journal of Systems Science, 2024 - Taylor & Francis
The sparrow search algorithm (SSA) is an efficient swarm-intelligence-based algorithm that
has made some significant advances since its introduction in 2020. A detailed overview of …
has made some significant advances since its introduction in 2020. A detailed overview of …
Starvation physiology: reviewing the different strategies animals use to survive a common challenge
MD McCue - Comparative Biochemistry and Physiology Part A …, 2010 - Elsevier
All animals face the possibility of limitations in food resources that could ultimately lead to
starvation-induced mortality. The primary goal of this review is to characterize the various …
starvation-induced mortality. The primary goal of this review is to characterize the various …
A novel swarm intelligence optimization approach: sparrow search algorithm
J Xue, B Shen - Systems science & control engineering, 2020 - Taylor & Francis
In this paper, a novel swarm optimization approach, namely sparrow search algorithm
(SSA), is proposed inspired by the group wisdom, foraging and anti-predation behaviours of …
(SSA), is proposed inspired by the group wisdom, foraging and anti-predation behaviours of …
Fault diagnosis of wind turbines based on a support vector machine optimized by the sparrow search algorithm
W Tuerxun, X Chang, G Hongyu, J Zhijie… - Ieee …, 2021 - ieeexplore.ieee.org
Fault diagnosis technology is key to the safe and stable operation of wind turbines. An
effective fault diagnosis technology for wind turbines can quickly identify fault types to …
effective fault diagnosis technology for wind turbines can quickly identify fault types to …
An improved binary sparrow search algorithm for feature selection in data classification
Feature Selection (FS) is an important preprocessing step that is involved in machine
learning and data mining tasks for preparing data (especially high-dimensional data) by …
learning and data mining tasks for preparing data (especially high-dimensional data) by …
Detection of gear fault severity based on parameter-optimized deep belief network using sparrow search algorithm
J Gai, K Zhong, X Du, K Yan, J Shen - Measurement, 2021 - Elsevier
In gear fault diagnosis, most current intelligent fault diagnosis methods show good
classification performance for fault pattern recognition. However, when detecting fault …
classification performance for fault pattern recognition. However, when detecting fault …
Larger groups are more successful in innovative problem solving in house sparrows
Group living offers well-known benefits to animals, such as better predator avoidance and
increased foraging success. An important additional, but so far neglected, advantage is that …
increased foraging success. An important additional, but so far neglected, advantage is that …
The effect of personality on social foraging: shy barnacle geese scrounge more
Animals foraging in groups can either search for food themselves (producing) or search for
the food discoveries of other individuals (scrounging). Tactic use in producer–scrounger …
the food discoveries of other individuals (scrounging). Tactic use in producer–scrounger …
Leaders, followers, and group decision-making
Social animals have to make a multitude of group decisions on a daily basis. At the most
basic level, this will involve coordination of activities and travel directions. In groups of …
basic level, this will involve coordination of activities and travel directions. In groups of …
Foraging in a tidally structured environment by red knots (Calidris canutus): ideal, but not free
Besides the “normal” challenge of obtaining adequate intake rates in a patchy and
dangerous world, shorebirds foraging in intertidal habitats face additional environmental …
dangerous world, shorebirds foraging in intertidal habitats face additional environmental …