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Published in 2020 at "Engineering with Computers"
DOI: 10.1007/s00366-020-00958-4
Abstract: The dragonfly algorithm (DA) is a swarm-based stochastic algorithm which possesses static and dynamic behavior of swarm and is gaining meaningful popularity due to its low computational cost and fast convergence in solving complex optimization…
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Keywords:
engineering;
algorithm differential;
differential evolution;
dragonfly algorithm ... See more keywords
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Published in 2020 at "Cluster Computing"
DOI: 10.1007/s10586-020-03054-w
Abstract: With the rapid development of processing and storage technologies and the success of the Internet, computing resources have become cheaper, more powerful and more ubiquitously available than ever before. This technological trend has enabled the…
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Keywords:
cloud;
load balancing;
cloud computing;
dragonfly algorithm ... See more keywords
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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3001204
Abstract: Feature selection is an effective method to eliminate irrelevant, redundant and noisy features, which improves the performance of classification and reduces the computational burden in machine learning. In this paper, an improved binary dragonfly algorithm…
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Keywords:
ibda;
feature selection;
dragonfly algorithm;
feature ... See more keywords
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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3012838
Abstract: Feature selection, which eliminates irrelevant and redundant features, is one of the most efficient classification methods. However, searching for an optimal subset from the original set is still a challenging problem. This paper proposes a…
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Keywords:
improved dragonfly;
feature selection;
dragonfly algorithm;
hybrid improved ... See more keywords
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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3188856
Abstract: Software testing is important for ensuring the reliability of software systems. In software testing, effective test case generation is essential as an alternative to exhaustive testing. For improving the software testing technology, the t-way testing…
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Keywords:
way;
test case;
test suite;
test ... See more keywords
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Published in 2022 at "Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science"
DOI: 10.1177/09544062221123999
Abstract: The objective of this study designed in three steps is to evaluate the optimization of tribological performance in the elevated temperature of TiC reinforced A356 matrix composites, produced by mechanical alloying (MA), using the dragonfly…
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Keywords:
elevated temperature;
temperature;
tribological performance;
performance elevated ... See more keywords
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Published in 2023 at "Energies"
DOI: 10.3390/en16083407
Abstract: Energy in microgrids (MGs) can now be generated from a variety of renewable sources, but their effective and sustainable use is dependent on electrical energy storage (EES) systems. Consequently, the expansion of MGs is greatly…
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Keywords:
system;
modified dragonfly;
frequency regulation;
two area ... See more keywords
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Published in 2022 at "Symmetry"
DOI: 10.3390/sym14020331
Abstract: The dragonfly algorithm is a swarm intelligence optimization algorithm based on simulating the swarming behavior of dragonfly individuals. An efficient algorithm must have a symmetry of information between the participating entities. An improved dragonfly algorithm…
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Keywords:
gaussian mutation;
gaussian barebone;
design;
barebone ... See more keywords