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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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References

  • Bansal, N., Han, X., Iwama, K., et al., 2013. A harmonic algorithm for the 3D strip packing problem. SIAM J. Comput., 42(2): 579–592. http://dx.doi.org/10.1137/070691607

    Article  MathSciNet  Google Scholar 

  • Cagan, J., Shimada, K., Yin, S., 2002. A survey of computational approaches to three-dimensional layout problems. Comput. Aided Des., 34(8): 597–611. http://dx.doi.org/10.1016/S0010-4485(01)00109-9

    Article  Google Scholar 

  • Chen, Y., Teng, H.F., 2010. Coevolutionary algorithm with coarse-to-fine grain strategy and its application to layout design of satellite module. J. Dalian Univ. Tech., 50(6): 931–936 (in Chinese).

    Google Scholar 

  • Cuco, A.P.C., de Sousa, F.L., Neto, A.J.S., 2014. A multiobjective methodology for spacecraft equipment layouts. Optim. Eng., 16(1): 165–181. http://dx.doi.org/10.1007/s11081-014-9252-z

    Article  Google Scholar 

  • del Valle, A.M., de Queiroz, T.A., Miyazawa, F.K., et al., 2012. Heuristics for two-dimensional knapsack and cutting stock problems with items of irregular shape. Expert Syst. Appl., 39(16): 12589–12598. http://dx.doi.org/10.1016/j.eswa.2012.05.025

    Article  Google Scholar 

  • Galiev, S.I., Lisafina, M.S., 2013. Linear models for the approximate solution of the problem of packing equal circles into a given domain. Eur. J. Oper. Res., 230(3): 505–514. http://dx.doi.org/10.1016/j.ejor.2013.04.050

    Article  MathSciNet  Google Scholar 

  • Glover, F., 1990a. Tabu search—part I. Informs J. Comput., 1(1): 89–98.

    Google Scholar 

  • Glover, F., 1990b. Tabu search—part II. Orsa J. Comput., 2(1): 4–32.

    Article  Google Scholar 

  • Hamacher, K., 2007. Energy landscape paving as a perfect optimization approach under detrended fluctuation analysis. Phys. A, 378(2): 307–314. http://dx.doi.org/10.1016/j.physa.2006.11.071

    Article  Google Scholar 

  • Hansmann, U.H.E., Wille, L.T., 2002. Global optimization by energy landscape paving. Phys. Rev. Lett., 88(6):068105.

    Article  Google Scholar 

  • He, K., Zeng, M.D., Xu, R.C., et al., 2013. A quasi-physical algorithm based on coarse and fine adjustment for solving circles packing problem with constraints of equilibrium. Chin. J. Comput., 36(6): 1224–1234. http://dx.doi.org/10.3724/SP.J.1013.2013.01224

    Article  MathSciNet  Google Scholar 

  • Huo, J.Z., Shi, Y.J., Teng, H.F., 2006. Layout design of a satellite module using a human-guided genetic algorithm. IEEE Int. Conf. on Computational Intelligence and Security, p.230–235.

    Google Scholar 

  • Jansen, K., Prädel, L., 2014. A new asymptotic approximation algorithm for 3-dimensional strip packing. LNCS, 8327: 327–338. http://dx.doi.org/10.1007/978-3-319-04298-5_29

    MathSciNet  MATH  Google Scholar 

  • Li, Z.Q., Zhang, H.L., Zheng, J.H., et al., 2011. Heuristic evolutionary approach for weighted circles layout. Commun. Comput. Inform. Sci., 86:324–331. http://dx.doi.org/10.1007/978-3-642-19853-3_47

    Article  Google Scholar 

  • Liu, J.F., Xue, S.J., Liu, Z.X., et al., 2009. An improved energy landscape paving algorithm for the problem of packing circles into a larger containing circle. Comput. Ind. Eng., 57(3): 1144–1149. http://dx.doi.org/10.1016/j.cie.2009.05.010

    Article  Google Scholar 

  • Liu, J.F., Li, G., Geng, H.T., 2011. A new heuristic algorithm for the circular packing problem with equilibrium constraints. Sci. China Inform. Sci., 54(8): 1572–1584. http://dx.doi.org/10.1007/s11432-4351-3

    Article  MathSciNet  Google Scholar 

  • Liu, J.F, Hao, L., Li, G., et al., 2016. Muti-objective layout optimization of a satellite module using the Wang-Landau sampling method with local search. Front. Inform. Technol. Electron. Eng., 17(6): 527–542. http://dx.doi.org/10.1631/FITEE.1500292

    Article  Google Scholar 

  • Liu, Z.W., Teng, H.F., 2008. Human-computer cooperative layout design method and its application. Comput. Ind. Eng., 55(4): 735–757. http://dx.doi.org/10.1016/j.cie.2006.11.007

    Article  Google Scholar 

  • Lodi, A., Martello, S., Monaci, M., 2002. Two-dimensional packing problems: a survey. Eur. J. Oper. Res., 141(2): 241–252. http://dx.doi.org/10.1016/S0377-2217(02)00123-6

    Article  MathSciNet  Google Scholar 

  • Martello, S., Vigo, D., 2000. The three-dimensional bin packing problem. Oper. Res., 48(2): 256–267.

    Article  MathSciNet  Google Scholar 

  • Rakshit, A., Bandyopadhyay, P., 2013. Finding low energy minima of (H2O)25 and (H2O)30 with temperature basin paving Monte Carlo method with effective fragment potential: new ‘global minimum’ and graph theoretical characterization of low energy structures. Comput. Theor. Chem., 1021:206–214. http://dx.doi.org/10.1016/j.comptc.2013.07.023

    Article  Google Scholar 

  • Schug, A., Wenzel, W., Hansmann, U.H.E., 2005. Energy landscape paving simulations of the trp-cage protein. J. Chem. Phys., 122(19):194711.

    Article  Google Scholar 

  • Shanker, S., Bandyopadhyay, P., 2011. Monte Carlo temperature basin paving with effective fragment potential: an efficient and fast method for finding low-energy structures of water clusters (H2O)20 and (H2O)25. Phys. Chem. A., 115(42): 11866–11875. http://dx.doi.org/10.1021/jp2073864

    Article  Google Scholar 

  • Silveira, M.E., Vieira, S.M., Sousa, J.M.D.C., 2013. An ACO algorithm for the 3D bin packing problem in the steel industry. LNCS, 7906:535–544. http://dx.doi.org/10.1007/978-3-642-38577-3_55

    Google Scholar 

  • Sun, Z.G., Teng, H.F., 2003. Optimal layout design of a satellite module. Eng. Optim., 35(5): 513–529. http://dx.doi.org/10.1080/03052150310001602335

    Article  Google Scholar 

  • Sun, Z.G., Teng, H.F., Liu, Z., 2003. Several key problems in automatic layout design of spacecraft modules. Prog. Nat. Sci., 13(11): 801–808.

    Article  Google Scholar 

  • Teng, H.F., Chen, Y., Zeng, W., et al., 2010. A dual-system variable-grain cooperative coevolutionary algorithm: satellite-module layout design. IEEE Trans. Evol. Comput., 14(3): 438–455. http://dx.doi.org/10.1109/TEVC.2009.2033585

    Article  Google Scholar 

  • Thomas, J., Chaudhari, N.S., 2014. Design of efficient packing system using genetic algorithm based on hyper heuristic approach. Adv. Eng. Softw., 73(5): 45–52. http://dx.doi.org/10.1016/j.advengsoft.2014.03.003

    Article  Google Scholar 

  • Tsai, J.F., Wang, P.C., Lin, M.H., 2014. A global optimization approach for solving three-dimensional open dimension rectangular packing problems. Optimization, 64(12): 1–18. http://dx.doi.org/10.1080/02331934.2013.877906

    MathSciNet  Google Scholar 

  • Wang, Y.S., Teng, H.F., 2009. Knowledge fusion design method: satellite module layout. Chin. J. Aeronaut., 22(1): 32–42. http://dx.doi.org/10.1016/S1000-9361(08)60066-7

    Article  Google Scholar 

  • Wang, Y.S., Yue, B.X., Teng, H.F., et al., 2011. Satellite payloads configuration design using multi-agent system based on ant colony optimization. IEEE Int. Conf. on soft Computing and Pattern Recognition, p.336–341.

  • Zhan, L.X., Jeff, Z., Chen, Y., et al., 2006. Monte Carlo basin paving: an improved global optimization method. Phys. Rev. E., 73(1pt2):015701.

    Article  Google Scholar 

  • Zhang, B., Teng, H.F., 2005. Particle swarm optimization based on pyramid model for satellite module layout. Chin. J. Mech. Eng., 18(4): 530–536.

    Article  Google Scholar 

  • Zhang, B., Teng, H.F., Shi, Y.J., 2008. Layout optimization of satellite module using soft computing techniques. Appl. Soft Comput., 8(1): 507–521. http://dx.doi.org/10.1016/j.asoc.2007.03.004

    Article  Google Scholar 

  • Zhang, D.F., Deng, A.S., 2005. An effective hybrid algorithm for the problem of packing circles into a larger containing circle. Comput. Oper. Res., 32(8): 1941–1951. http://dx.doi.org/10.1016/j.cor.2003.12.006

    Article  Google Scholar 

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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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