An improved genetic algorithm for a class of multi-resource range scheduling problem

Yu Qing Li; Ri Xin Wang; Min Qiang Xu; Hu Tao Cui; Hai Bo Wang; Rui Xu

doi:10.3873/j.issn.1000-1328.2012.01.012

An improved genetic algorithm for a class of multi-resource range scheduling problem

Yu Qing Li^*, Ri Xin Wang, Min Qiang Xu, Hu Tao Cui, Hai Bo Wang, Rui Xu

^*Corresponding author for this work

School of Aerospace Engineering

Harbin Institute of Technology

Research output: Contribution to journal › Article › peer-review

23 Citations (Scopus)

Abstract

One type of Multi-Resource Range Scheduling (MuRRS) problems featuring large scale input is researched in this paper, in which TT&C windows have priorities. First, the constraints in the problem are analyzed and the numerical model is established on the basis of former analysis. Second, aiming at characteristics of this problem, based on the genetic algorithm (GA), an improved genetic algorithm (IGA) is developed by designing the proper operators of copy cross and mutation. At last, a numerical computational example shows the validity of the approach.

Original language	English
Pages (from-to)	85-90
Number of pages	6
Journal	Yuhang Xuebao/Journal of Astronautics
Volume	33
Issue number	1
DOIs	https://doi.org/10.3873/j.issn.1000-1328.2012.01.012
Publication status	Published - Jan 2012

Keywords

Genetic algorithm
Planning and scheduling
Priority
Range scheduling
TT&C

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10.3873/j.issn.1000-1328.2012.01.012

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abstract = "One type of Multi-Resource Range Scheduling (MuRRS) problems featuring large scale input is researched in this paper, in which TT&C windows have priorities. First, the constraints in the problem are analyzed and the numerical model is established on the basis of former analysis. Second, aiming at characteristics of this problem, based on the genetic algorithm (GA), an improved genetic algorithm (IGA) is developed by designing the proper operators of copy cross and mutation. At last, a numerical computational example shows the validity of the approach.",

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AU - Xu, Rui

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AB - One type of Multi-Resource Range Scheduling (MuRRS) problems featuring large scale input is researched in this paper, in which TT&C windows have priorities. First, the constraints in the problem are analyzed and the numerical model is established on the basis of former analysis. Second, aiming at characteristics of this problem, based on the genetic algorithm (GA), an improved genetic algorithm (IGA) is developed by designing the proper operators of copy cross and mutation. At last, a numerical computational example shows the validity of the approach.

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KW - Planning and scheduling

KW - Priority

KW - Range scheduling

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An improved genetic algorithm for a class of multi-resource range scheduling problem

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Keywords

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