Full Text:   <2195>

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CLC number: TP391; V474

On-line Access: 2016-06-06

Received: 2015-09-06

Revision Accepted: 2016-02-28

Crosschecked: 2016-05-10

Cited: 4

Clicked: 6460

Citations:  Bibtex RefMan EndNote GB/T7714


Liang Hao


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Frontiers of Information Technology & Electronic Engineering  2016 Vol.17 No.6 P.527-542


Multi-objective layout optimization of a satellite module using the Wang-Landau sampling method with local search

Author(s):  Jing-fa Liu, Liang Hao, Gang Li, Yu Xue, Zhao-xia Liu, Juan Huang

Affiliation(s):  Jiangsu Engineering Center of Network Monitoring, Nanjing University of Information Science & Technology, Nanjing 210044, China; more

Corresponding email(s):   haoliang90518@163.com

Key Words:  Packing, Layout design, Satellite module, Wang-Landau algorithm

Jing-fa Liu, Liang Hao, Gang Li, Yu Xue, Zhao-xia Liu, Juan Huang. Multi-objective layout optimization of a satellite module using the Wang-Landau sampling method with local search[J]. Frontiers of Information Technology & Electronic Engineering, 2016, 17(6): 527-542.

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journal="Frontiers of Information Technology & Electronic Engineering",
publisher="Zhejiang University Press & Springer",

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%T Multi-objective layout optimization of a satellite module using the Wang-Landau sampling method with local search
%A Jing-fa Liu
%A Liang Hao
%A Gang Li
%A Yu Xue
%A Zhao-xia Liu
%A Juan Huang
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%I Zhejiang University Press & Springer
%DOI 10.1631/FITEE.1500292

T1 - Multi-objective layout optimization of a satellite module using the Wang-Landau sampling method with local search
A1 - Jing-fa Liu
A1 - Liang Hao
A1 - Gang Li
A1 - Yu Xue
A1 - Zhao-xia Liu
A1 - Juan Huang
J0 - Frontiers of Information Technology & Electronic Engineering
VL - 17
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SP - 527
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%@ 2095-9184
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PB - Zhejiang University Press & Springer
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DOI - 10.1631/FITEE.1500292

The layout design of satellite modules is considered to be NP-hard. It is not only a complex coupled system design problem but also a special multi-objective optimization problem. The greatest challenge in solving this problem is that the function to be optimized is characterized by a multitude of local minima separated by high-energy barriers. The Wang-Landau (WL) sampling method, which is an improved Monte Carlo method, has been successfully applied to solve many optimization problems. In this paper we use the WL sampling method to optimize the layout of a satellite module. To accelerate the search for a global optimal layout, local search (LS) based on the gradient method is executed once the Monte-Carlo sweep produces a new layout. By combining the WL sampling algorithm, the LS method, and heuristic layout update strategies, a hybrid method called WL-LS is proposed to obtain a final layout scheme. Furthermore, to improve significantly the efficiency of the algorithm, we propose an accurate and fast computational method for the overlapping depth between two objects (such as two rectangular objects, two circular objects, or a rectangular object and a circular object) embedding each other. The rectangular objects are placed orthogonally. We test two instances using first 51 and then 53 objects. For both instances, the proposed WL-LS algorithm outperforms methods in the literature. Numerical results show that the WL-LS algorithm is an effective method for layout optimization of satellite modules.

This paper’s main contributions are introducing the Wang-Landau method (W-L) for solving the layout optimization of a satellite module problem and connecting the W-L with L-S to form the proposed method. This is new and useful to solve the layout optimization of a satellite module problem.




Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article


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