Modeling and Solving for Multi-Satellite Cooperative Task Allocation Problem Based on Genetic Programming Method
Created by W.Langdon from
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- @Article{qi:2022:Mathematics,
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author = "Weihua Qi and Wenyuan Yang and Lining Xing and
Feng Yao",
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title = "Modeling and Solving for Multi-Satellite Cooperative
Task Allocation Problem Based on Genetic Programming
Method",
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journal = "Mathematics",
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year = "2022",
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volume = "10",
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number = "19",
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pages = "Article No. 3608",
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keywords = "genetic algorithms, genetic programming, gene
expression programming",
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ISSN = "2227-7390",
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URL = "https://www.mdpi.com/2227-7390/10/19/3608",
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DOI = "doi:10.3390/math10193608",
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abstract = "The past decade has seen an increase in the number of
satellites in orbit and in highly dynamic satellite
requests, making the control by ground stations
inefficient. The traditional management composed of
ground planning with separate onboard execution is
seriously lagging in response to dynamically incoming
tasks. To meet the demand for the real-time response to
emergent events, a multi-autonomous-satellite system
with a central-distributed collaborative architecture
was formulated by an integer programming model. Based
on the structure, evolutionary rules were proposed to
solve this problem by the use of sequence solution
construction and a constructed heuristic method based
on gene expression programming evolution. First, the
features of the problem are extracted based on domain
knowledge, then, the problem-solving rules are evolved
by gene expression programming. The simulation results
reflect that the evolutionary rule completely surpasses
the three types of heuristic rules with adaptive
mechanisms and achieves a solution effect close to
meta-heuristic algorithms with a reasonably fast
solving speed.",
-
notes = "also known as \cite{math10193608}",
- }
Genetic Programming entries for
Weihua Qi
Wenyuan Yang
Lining Xing
Feng Yao
Citations