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Hybrid spiral-dynamic bacteria-chemotaxis algorithm with application to control two-wheeled machines

Overview of attention for article published in Robotics and Biomimetics, June 2017
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Title
Hybrid spiral-dynamic bacteria-chemotaxis algorithm with application to control two-wheeled machines
Published in
Robotics and Biomimetics, June 2017
DOI 10.1186/s40638-017-0059-1
Pubmed ID
Authors

K. M. Goher, A. M. Almeshal, S. A. Agouri, A. N. K. Nasir, M. O. Tokhi, M. R. Alenezi, T. Al Zanki, S. O. Fadlallah

Abstract

This paper presents the implementation of the hybrid spiral-dynamic bacteria-chemotaxis (HSDBC) approach to control two different configurations of a two-wheeled vehicle. The HSDBC is a combination of bacterial chemotaxis used in bacterial forging algorithm (BFA) and the spiral-dynamic algorithm (SDA). BFA provides a good exploration strategy due to the chemotaxis approach. However, it endures an oscillation problem near the end of the search process when using a large step size. Conversely; for a small step size, it affords better exploitation and accuracy with slower convergence. SDA provides better stability when approaching an optimum point and has faster convergence speed. This may cause the search agents to get trapped into local optima which results in low accurate solution. HSDBC exploits the chemotactic strategy of BFA and fitness accuracy and convergence speed of SDA so as to overcome the problems associated with both the SDA and BFA algorithms alone. The HSDBC thus developed is evaluated in optimizing the performance and energy consumption of two highly nonlinear platforms, namely single and double inverted pendulum-like vehicles with an extended rod. Comparative results with BFA and SDA show that the proposed algorithm is able to result in better performance of the highly nonlinear systems.

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Mendeley readers

Mendeley readers

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Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 38%
Unspecified 1 13%
Student > Bachelor 1 13%
Lecturer 1 13%
Student > Master 1 13%
Other 0 0%
Unknown 1 13%
Readers by discipline Count As %
Engineering 6 75%
Unspecified 1 13%
Unknown 1 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 20 June 2017.
All research outputs
#15,694,282
of 23,321,213 outputs
Outputs from Robotics and Biomimetics
#19
of 39 outputs
Outputs of similar age
#184,281
of 292,268 outputs
Outputs of similar age from Robotics and Biomimetics
#1
of 1 outputs
Altmetric has tracked 23,321,213 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 39 research outputs from this source. They receive a mean Attention Score of 1.8. This one scored the same or higher as 20 of them.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 292,268 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them