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Harmony Search Applications in Industry

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Soft Computing Applications in Industry

Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 226))

Introduction

In this chapter, the recently-developed music-inspired harmony search (HS) algorithm is introduced and its various industrial applications are reviewed.

The HS algorithm (Geem et al 2001) mimics the behaviors of musicians improvising to find a fantastic harmony in terms of aesthetics. Similarly, the optimization process seeks a superior vector in terms of objective function. This is the core analogy between improvisation and optimization in the HS algorithm.

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References

  • Adeli, H., Park, H.S.: Hybrid CPN-neural dynamics model for discrete optimization of steel structures. Microcomputer Civil Engineering 11, 355–366 (1996)

    Google Scholar 

  • Broad, D.R., Dandy, G.C., Maier, H.R.: Water distribution system optimization using metamodels. Journal of Water Resources Planning and Management, ASCE 131, 172–180 (2005)

    Article  Google Scholar 

  • Camp, C., Pezeshk, S., Cao, G.: Optimized design of two-dimensional structures using a genetic algorithm. Journal of Structural Engineering, ASCE 124, 551–559 (1998)

    Article  Google Scholar 

  • Cunha, M.C., Ribeiro, L.: Tabu search algorithms for water network optimization. European Journal of Operational Research 157, 746–758 (2004)

    Article  MATH  Google Scholar 

  • Cunha, M.C., Sousa, J.: Hydraulic infrastructures design using simulated annealing. Journal of Infrastructure Systems, ASCE 7, 32–39 (2001)

    Article  Google Scholar 

  • Das, A.: Parameter estimation for Muskungum models. Journal of Irrigation and Drainage Engineering 130, 140–147 (2004)

    Article  Google Scholar 

  • Erdal, F., Saka, M.P.: Optimum design of grillage systems using harmony search algorithm. In: Proceedings of 8th International Conference on Computational Structures Technology (CST 2006), Las Palmas de Gran Canaria, Spain (2006) (CD-ROM)

    Google Scholar 

  • Eusuff, M., Lansey, K.E.: Optimization of water distribution network design using the shuffled frog leaping algorithm. Journal of Water Resources Planning and Management, ASCE 129, 210–225 (2003)

    Article  Google Scholar 

  • Geem, Z.W.: Harmony search in water pump switching problem. In: Wang, L., Chen, K., S. Ong, Y. (eds.) ICNC 2005. LNCS, vol. 3612, pp. 751–760. Springer, Heidelberg (2005)

    Google Scholar 

  • Geem, Z.W.: Parameter estimation for the nonlinear Muskingum model using BFGS technique. Journal of Irrigation and Drainage Engineering, ASCE 132, 474–478 (2006a)

    Article  Google Scholar 

  • Geem, Z.W.: Optimal cost design of water distribution networks using harmony search. Engineering Optimization 38, 259–280 (2006b)

    Article  Google Scholar 

  • Geem, Z.W.: Comparison harmony search with other meta-heuristics in water distribution network design. In: Proceedings of 8th Annual International Symposium on Water Distribution Systems Analysis (WDSA 2006), ASCE, Cincinnati, OH, USA (2006c) (CD-ROM)

    Google Scholar 

  • Geem, Z.W.: Improved harmony search from ensemble of music players. In: Gabrys, B., Howlett, R.J., Jain, L.C. (eds.) KES 2006. LNCS (LNAI), vol. 4251, pp. 86–93. Springer, Heidelberg (2006d)

    Chapter  Google Scholar 

  • Geem, Z.W.: Optimal scheduling of multiple dam system using harmony search algorithm. In: Sandoval, F., Prieto, A.G., Cabestany, J., Graña, M. (eds.) IWANN 2007. LNCS, vol. 4507, pp. 316–323. Springer, Heidelberg (2007a)

    Chapter  Google Scholar 

  • Geem, Z.W.: Harmony search algorithm for the optimal design of large-scale water distribution network. In: Proceedings of the 7th International IWA Symposium on Systems Analysis and Integrated Assessment in Water Management (Watermatex 2007), IWA, Washington DC, USA (2007b) (CD-ROM)

    Google Scholar 

  • Geem, Z.W.: Harmony search algorithm for solving Sudoku (submitted. In: Apolloni, B., Howlett, R.J., Jain, L. (eds.) KES 2007, Part I. LNCS (LNAI), vol. 4692, pp. 371–378. Springer, Heidelberg (2007c)

    Chapter  Google Scholar 

  • Geem, Z.W., Choi, J.Y.: Music composition using harmony search algorithm. In: Giacobini, M. (ed.) EvoWorkshops 2007. LNCS, vol. 4448, pp. 593–600. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  • Geem, Z.W., Geem, W.B.: Cutting-edge optimization technique and its applications to the civil engineering. Magazine of the Korean Society of Civil Engineers, KSCE 55, 155–171 (2007)

    Google Scholar 

  • Geem, Z.W., Hwangbo, H.: Application of harmony search to multi-objective optimization for satellite heat pipe design. In: Proceedings of US-Korea Conference on Science, Technology, & Entrepreneurship (UKC 2006), Teaneck, NJ, USA (2006) (CD-ROM)

    Google Scholar 

  • Geem, Z.W., Kim, J.H.: Efficient design of urban water supply network using improved harmony search. In: Proceedings of the 4th IWA Specialist Conference on Efficient Use and Management of Urban Water Supply (Efficient 2007), IWA, Jeju Island, South Korea (2007) (CD-ROM)

    Google Scholar 

  • Geem, Z.W., Kim, J.H., Loganathan, G.V.: A new heuristic optimization algorithm: Harmony search. Simulation 76, 60–68 (2001)

    Google Scholar 

  • Geem, Z.W., Kim, J.H., Loganathan, G.V.: Application of harmony search algorithm to water resources problems. In: Proceedings of 2002 Conference of the Environmental and Water Resources Institute, ASCE, Roanoke, VA, USA (2002) (CD-ROM)

    Google Scholar 

  • Geem, Z.W., Lee, K.S., Park, Y.: Application of harmony search to vehicle routing. American Journal of Applied Sciences 2, 1552–1557 (2005a)

    Article  Google Scholar 

  • Geem, Z.W., Lee, K.S., Tseng, C.L.: Harmony search for structural design. In: Proceedings of 2005 Genetic and Evolutionary Computation Conference (GECCO 2005), Washington, DC, USA, pp. 651–652 (2005c)

    Google Scholar 

  • Geem, Z.W., Park, Y.: Harmony search for Layout of Rectilinear Branched Networks. WSEAS Transactions on Systems 6, 1349–1354 (2006)

    Google Scholar 

  • Geem, Z.W., Tseng, C.L.: Engineering applications of harmony search. In: Late-Breaking Papers of 2002 Genetic and Evolutionary Computation Conference (GECCO 2002), New York City, USA, pp. 169–173.

    Google Scholar 

  • Geem, Z.W., Tseng, C.L., Park, Y.: Harmony search for generalized orienteering problem: Best touring in China. In: Wang, L., Chen, K., S. Ong, Y. (eds.) ICNC 2005. LNCS, vol. 3612, pp. 741–750. Springer, Heidelberg (2005b)

    Google Scholar 

  • Gill, M.A.: Flood routing by the Muskingum method. Journal of Hydrology 36, 353–363 (1978)

    Article  Google Scholar 

  • Kim, J.H., Geem, Z.W., Kim, E.S.: Parameter estimation of the nonlinear Muskingum model using harmony search. Journal of the American Water Resources Association 37, 1131–1138 (2001)

    Article  Google Scholar 

  • Kim, S.H., et al.: Transient analysis and leakage detection algorithm using GA and HS algorithm for a pipeline system. Journal of Mechanical Science and Technology, KSME 20, 426–434 (2006)

    Article  Google Scholar 

  • Lee, C.H.: Optimized mix proportioning of steel and hybrid fiber reinforced concrete using harmony search algorithm. Master Thesis, Department of Civil and Environmental Engineering, Korea University, South Korea (2004)

    Google Scholar 

  • Lee, K.S., Geem, Z.W.: A new structural optimization method based on the harmony search algorithm. Computers & Structures 82, 781–798 (2004)

    Article  Google Scholar 

  • Lee, K.S., Geem, Z.W.: A new meta-heuristic algorithm for continuous engineering optimization: Harmony search theory and practice. Computer Methods in Applied Mechanics and Engineering 194, 3902–3933 (2005)

    Article  MATH  Google Scholar 

  • Li, L., Chi, S.C., Lin, G.: Genetic algorithm incorporated with harmony procedure and its application to searching of non-circular critical slip surface in soil slopes (In Chinese). Shuili Xuebao 36, 1–8 (2005)

    Google Scholar 

  • Li, L.J., et al.: A Heuristic particle swarm optimizer for optimization of pin connected structures. Computers & Structures 85, 340–349 (2007)

    Article  Google Scholar 

  • Liu, T.N., Feng, Z.B.: Adaptive identification and filtering based on harmony search (In Chinese). Journal of Jilin University 22, 306–309 (2004)

    Google Scholar 

  • Mahdavi, M., Fesanghary, M., Damangir, E.: An improved harmony search algorithm for solving optimization problems. Applied Mathematics and Computation 188(2), 1567–1579 (2007)

    Article  MATH  MathSciNet  Google Scholar 

  • Maier, H.R., et al.: Ant colony optimization for design of water distribution systems. Journal of Water Resources Planning and Management, ASCE 129, 200–209 (2003)

    Article  Google Scholar 

  • Mays, L.W., Tung, Y.K.: Hydrosystems engineering and management. McGraw-Hill, New York (1992)

    Google Scholar 

  • Mohan, S.: Parameter estimation of nonlinear Muskingum models using genetic algorithm. Journal of Hydraulic Engineering 123, 137–142 (1997)

    Article  Google Scholar 

  • Mott, R.L.: Applied Fluid Mechanics. Prentice-Hall, Englewood Cliffs (2005)

    Google Scholar 

  • Paik, K., et al.: A conceptual rainfall-runoff model considering seasonal variation. Hydrological Processes 19, 3837–3850 (2005)

    Article  Google Scholar 

  • Park, H.S., Sung, C.W.: Optimization of steel structures using distributed simulated annealing algorithm on a cluster of personal computers. Computers and Structures 80, 1305–1316 (2002)

    Article  Google Scholar 

  • Perelman, L., Ostfeld, A.: Water distribution systems optimal design using cross entropy. In: Proceedings of the 2005 Conference on Genetic and Evolutionary Computation (GECCO 2005), Washington, DC, USA, pp. 647–648 (2005)

    Google Scholar 

  • Reca, J., Martinez, J.: Genetic algorithms for the design of looped irrigation water distribution networks. Water Resources Research 42 (2006)

    Google Scholar 

  • Rossman, L.A.: EPANET2 Users Manual. US Environmental Protection Agency. Cincinnati, OH, USA (2000)

    Google Scholar 

  • Ryu, S., et al.: Offshore mooring cost optimization via harmony search. In: Proceedings of 26th International Conference on Offshore Mechanics and Arctic Engineering, ASME, San Diego, CA, USA (2007)

    Google Scholar 

  • Tian, Y.H., Bo, Y.M., Gao, M.F.: Parameters choice criteria in harmony annealing for function optimization (In Chinese). Computer Simulation 22, 70–74 (2005)

    Google Scholar 

  • Tung, Y.K.: River flood routing by nonlinear Muskingum method. Journal of Hydraulic Engineering 111, 1447–1460 (1985)

    Google Scholar 

  • Wardlaw, R., Sharif, M.: Evaluation of genetic algorithms for optimal reservoir system operation. Journal of Water Resources Planning and Management, ASCE 125, 25–33 (1999)

    Article  Google Scholar 

  • Walters, G., Lohbeck, T.: Optimal layout of tree networks using genetic algorithms. Engineering Optimization 22, 27–48 (1993)

    Article  Google Scholar 

  • Walters, G., Smith, D.: Evolutionary design algorithm for optimal layout of tree networks. Engineering Optimization 24, 261–281 (1995)

    Article  Google Scholar 

  • Wu, Z.Y., et al.: Using genetic algorithms to rehabilitate distribution systems. Journal of the American Water Works Association 93, 74–85 (2001)

    Google Scholar 

  • Zecchin, A.C., et al.: Application of two ant colony optimization algorithms to water distribution system optimization. Mathematical and Computer Modelling 44, 451–468 (2006)

    Article  MATH  Google Scholar 

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Bhanu Prasad

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© 2008 Springer-Verlag Berlin Heidelberg

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Geem, Z.W. (2008). Harmony Search Applications in Industry. In: Prasad, B. (eds) Soft Computing Applications in Industry. Studies in Fuzziness and Soft Computing, vol 226. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-77465-5_6

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  • DOI: https://doi.org/10.1007/978-3-540-77465-5_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-77464-8

  • Online ISBN: 978-3-540-77465-5

  • eBook Packages: EngineeringEngineering (R0)

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