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A new energy landscape paving heuristic for satellite module layouts

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Abstract

This article describes a study of the satellite module layout problem (SMLP), which is a three-dimensional (3D) layout optimization problem with performance constraints that has proved to be non-deterministic polynomial-time hard (NP-hard). To deal with this problem, we convert it into an unconstrained optimization problem using a quasi-physical strategy and the penalty function method. The energy landscape paving (ELP) method is a class of Monte-Carlo-based global optimization algorithm that has been successfully applied to solve many optimization problems. ELP can search for low-energy layouts via a random walk in complex energy landscapes. However, when ELP falls into the narrow and deep valleys of an energy landscape, it is difficult to escape. By putting forward a new update mechanism of the histogram function in ELP, we obtain an improved ELP method which can overcome this drawback. By incorporating the gradient method with local search into the improved ELP method, a new global search optimization method, nELP, is proposed for SMLP. Two representative instances from the literature are tested. Computational results show that the proposed nELP algorithm is an effective method for solving SMLP with performance constraints.

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Authors and Affiliations

  1. Jiangsu Engineering Center of Network Monitoring, Nanjing University of Information Science & Technology, Nanjing, 210044, China

    Jing-fa Liu, Juan Huang, Wen-jie Liu & Liang Hao

  2. School of Computer & Software, Nanjing University of Information Science & Technology, Nanjing, 210044, China

    Jing-fa Liu, Juan Huang, Wen-jie Liu & Liang Hao

  3. School of Mathematics and Statistics, Nanjing University of Information Science & Technology, Nanjing, 210044, China

    Gang Li

  4. Office of Informationization, Construction and Management, Nanjing University of Information Science & Technology, Nanjing, 210044, China

    Ting-zhao Guan

Authors
  1. Jing-fa Liu
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  2. Juan Huang
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  3. Gang Li
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  4. Wen-jie Liu
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  5. Ting-zhao Guan
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  6. Liang Hao
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Corresponding author

Correspondence to Juan Huang.

Additional information

Project supported by the National Natural Science Foundation of China (No. 61373016), the Six Talent Peaks Project of Jiangsu Province, China (No. DZXX-041), the Project Funded by the Priority Academic Program Development of Jiangsu Higher Education Institutions, and the Natural Science Foundation of Jiangsu Province, China (No. BK20141005)

ORCID: Juan HUANG, http://orcid.org/0000-0003-2830-7699

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Liu, Jf., Huang, J., Li, G. et al. A new energy landscape paving heuristic for satellite module layouts. Frontiers Inf Technol Electronic Eng 17, 1031–1043 (2016). https://doi.org/10.1631/FITEE.1500302

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  • DOI: https://doi.org/10.1631/FITEE.1500302

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