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Published in 2018 at "Circuits, Systems, and Signal Processing"
DOI: 10.1007/s00034-017-0613-7
Abstract: Block matching (BM) motion estimation plays an inevitable role in video coding applications. BM approaches are used for data compression. The compression is achieved by removing the temporal redundancy in the video sequences. In the…
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Keywords:
bee colony;
video;
compression;
motion estimation ... See more keywords
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Published in 2019 at "Neural Computing and Applications"
DOI: 10.1007/s00521-019-04172-2
Abstract: To solve the problems of local optimum, slow convergence speed and low search efficiency in ant colony algorithm, an improved ant colony optimization algorithm is proposed. The unequal allocation initial pheromone is constructed to avoid…
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Keywords:
planning;
colony;
improved ant;
ant colony ... See more keywords
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Published in 2017 at "Applied Intelligence"
DOI: 10.1007/s10489-017-0950-z
Abstract: This paper presents hybrid artificial bee colony algorithm based approaches for two NP$\mathcal {NP}$-hard problems arising in optical ring networks. These two problems falls under the category of ring loading problems. Given a set of…
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Keywords:
bee colony;
colony algorithm;
algorithm based;
hybrid artificial ... See more keywords
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Published in 2021 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-020-09908-0
Abstract: In this paper, we present a way to create an accurate trimap. Since the matting problem is a serious under-constrained problem, the user is required to provide additional constraint information to estimate the alpha value…
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Keywords:
colony algorithm;
image matting;
ant colony;
trimap ... See more keywords
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Published in 2018 at "Wireless Personal Communications"
DOI: 10.1007/s11277-018-5319-z
Abstract: In order to discuss the logistics distribution that directly affects the satisfaction of consumers for the entire online shopping activities, this article mainly studies the logistics terminal distribution mode and path optimization, and combined with…
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Keywords:
colony algorithm;
logistics terminal;
ant colony;
distribution ... See more keywords
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Published in 2022 at "Arabian Journal for Science and Engineering"
DOI: 10.1007/s13369-022-06579-x
Abstract: Ant colony algorithm can better deal with combinatorial optimization problems, but it is still difficult to balance the solution accuracy and convergence speed facing large-scale TSP. Nowadays, most scholars focus on the route information of…
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Keywords:
colony algorithm;
ant colony;
colony;
community ... See more keywords
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Published in 2020 at "Measurement"
DOI: 10.1016/j.measurement.2019.107040
Abstract: Abstract Multi-harmonic signals are useful in many applications to estimate the frequency response of a device. To minimize noise effects, signal power should be maximized within the amplitude limitations of the signal generation and acquisition…
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Keywords:
bee colony;
colony algorithm;
artificial bee;
peak factor ... See more keywords
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Published in 2022 at "Robotica"
DOI: 10.1017/s026357472200114x
Abstract: Abstract A welding path can be planned effectively for spot welding robots using the ant colony algorithm, but the initial parameters of the ant colony algorithm are usually selected through human experience, resulting in an…
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Keywords:
colony algorithm;
improved ant;
algorithm;
path ... See more keywords
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Published in 2017 at "IEEE Access"
DOI: 10.1109/access.2017.2723892
Abstract: Disadvantages inherent to existing guidance systems for scenic areas can be reduced to a partial point traversal problem in the connected graph. This paper presents an intelligent, ant-colony-based path planning algorithm that is applicable to…
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Keywords:
colony;
improved ant;
ant colony;
colony algorithm ... See more keywords
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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2971327
Abstract: The ant colony algorithm (ACA) has been widely used for reducing the dimensionality of hyperspectral remote sensing imagery. However, the ACA suffers from problems of slow convergence and of local optima (caused by loss of…
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Keywords:
colony;
colony algorithm;
imagery;
ant colony ... See more keywords
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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3002817
Abstract: Ant colony system has a good performance in solving Traveling Salesman Problem (TSP), but it tends to fall into local optimum and is deficient in convergence speed. To address this problem, a dynamic density clustering…
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Keywords:
colony algorithm;
density clustering;
ant colony;
algorithm ... See more keywords