Skip to main content
SpringerLink
Log in
Book cover

Recent Advances In Harmony Search Algorithm pp 99–109Cite as

An Introduction to the Hybrid HS-SQP Method and Its Applications

  • Chapter

Part of the book series: Studies in Computational Intelligence ((SCI,volume 270))

Abstract

This chapter aims to present recent developments and applications concerning optimization with the hybrid HS-SQP method. This method has been successfully utilized in several engineering applications. In addition to the introduction of the concept of HS-SQP method, this chapter also presents some selected representative case studies covering synthesis of cost-optimal heat exchanger networks and economic utilization of electric power systems.

This is a preview of subscription content, log in via an institution.

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Moscato, P.: On evolution, search, optimization, genetic algorithms and martial arts: Towards memetic algorithms, Tech. Rep. 826. California Inst. Technol., Pasadena (1989)

    Google Scholar 

  2. Moscato, P., Cotta, C.: A gentle introduction to memetic algorithms. In: Glower, F., Kochenberger, G. (eds.) Handbook of Metaheuristics. Kluwer, Norwell (1999)

    Google Scholar 

  3. Bersini, H., Renders, B.: Hybridizing genetic algorithms with hill-climbing methods for global optimization: Two possible ways. In: Proc. IEEE Int. Symp. Evolutionary Computation, Orlando, FL (1994)

    Google Scholar 

  4. Merz, C.J.: A principal components approach to combining regression estimates. Mach. Learn. 36, 9–32 (1999)

    Article  Google Scholar 

  5. He, J., Xu, J., Yao, X.: Solving equations by hybrid evolutionary computation techniques. IEEE Trans. Evol. Comput. 4, 295–304 (2000)

    Article  Google Scholar 

  6. Sarker, R., Mohammadian, M., Yao, X. (eds.): Evolutionary Optimization. Kluwer, Norwell (2002)

    MATH  Google Scholar 

  7. Fesanghary, M., Mahdavi, M., Minary-Jolandan, M., Alizadeh, Y.: Hybridizing harmony search algorithm with sequential quadratic programming for engineering optimization problems. Computer Methods in Applied Mechanics and Engineering 197, 3080–3091 (2008)

    Article  Google Scholar 

  8. Coello, C.A.C.: Use of a self-adaptive penalty approach for engineering optimization problems. Computers in Industry 41, 113–127 (2000)

    Article  Google Scholar 

  9. Deb, K.: An efficient constraint handling method for genetic algorithms. Comput. Methods Appl. Mech. Engrg. 186, 311–338 (2000)

    Article  MATH  Google Scholar 

  10. Ragsdell, K.M., Phillips, D.T.: Optimal design of a class of welded structures using geometric programming. ASME J. Engrg. Ind. Ser. B 98, 1021–1025 (1976)

    Google Scholar 

  11. Lee, K.S., Geem, Z.W.: A new meta-heuristic algorithm for continues engineering optimization: harmony search theory and practice. Comput. Methods Appl. Mech. Engrg. 194, 3902–3933 (2004)

    Article  Google Scholar 

  12. Mahdavi, M., Fesanghary, M., Damangir, E.: An improved harmony search algorithm for solving optimization problems. Appl. Math. Comput. 188, 1567–1579 (2007)

    Article  MATH  MathSciNet  Google Scholar 

  13. Lin, C.E., Chen, S.T., Huang, C.L.: A direct Newton-Raphson economic dispatch. IEEE Trans. Power Syst. 7, 1149–1154 (1992)

    Article  Google Scholar 

  14. Lin, C.E., Viviani, G.L.: Hierarchical economic dispatch for piecewise quadratic cost functions. IEEE Trans. Power App. Syst. 103, 1170–1175 (1984)

    Article  Google Scholar 

  15. Wood, A.J., Wollenberg, B.F.: Power generation, operation and control. Wiley, New York (1994)

    Google Scholar 

  16. Yang, H.T., Chen, S.L.: Incorporating a multi-criteria decision procedure into the combined dynamic programming/production simulation algorithm for generation expansion planning. IEEE Trans. Power Syst. 4, 165–175 (1989)

    Article  Google Scholar 

  17. Granville, S.: Optimal reactive dispatch through interior point methods. IEEE Trans. Power Syst. 9, 136–146 (1994)

    Article  Google Scholar 

  18. Chen, C.L., Wang, S.C.: Branch-and-bound scheduling for thermal generating units. IEEE Trans. Energy Convers. 8, 184–189 (1993)

    Article  Google Scholar 

  19. Liang, Z.X., Glover, J.D.: A zoom feature for a dynamic programming solution to economic dispatch including transmission losses. IEEE Trans. Power Syst. 7, 544–550 (1992)

    Article  Google Scholar 

  20. Papageorgiou, L.G., Fraga, E.S.: A mixed integer quadratic programming formulation for the economic dispatch of generators with operating zones. Electric Power Syst. Res. 77, 1292–1296 (2007)

    Article  Google Scholar 

  21. Kuo, C.C.: A novel string structure for economic dispatch problems with practical constraints. Energy Convers. Manage. 49, 3571–3577 (2008)

    Article  Google Scholar 

  22. Lin, W.M., Cheng, F.S., Tsay, M.T.: An improved tabu search for economic dispatch with multiple minima. IEEE Trans. Power Syst. 17, 108–112 (2002)

    Article  Google Scholar 

  23. Song, Y.H., Chou, C.S.V., Min, Y.: Large-scale economic dispatch by artificial ant colony search algorithms. Electr. Mach. Power Syst. 27, 679–690 (1999)

    Article  Google Scholar 

  24. Vasebi, A., Fesanghary, M., Bathaee, S.M.T.: Combined heat and power economic dispatch by harmony search algorithm. International Journal of Electrical Power & Energy Systems 29, 713–719 (2007)

    Article  Google Scholar 

  25. Somasundaram, P., Kuppusamy, K., Kumudini Devi, R.P.: Economic dispatch with prohibited operating zones using fast computation evolutionary programming algorithm. Electr. Power Syst. Res. 70, 245–252 (2004)

    Article  Google Scholar 

  26. Gaing, Z.L.: Particle swarm optimization to solving the economic dispatch considering the generator constraints. IEEE Trans. Power Syst. 18, 1187–1195 (2003)

    Article  Google Scholar 

  27. Noman, N., Iba, H.: Differential evolution for economic load dispatch problems. Electr. Power Syst. Res. 78, 1322–1331 (2008)

    Article  Google Scholar 

  28. Fesanghary, M., Ardehali, M.M.: A novel meta-heuristic optimization methodology for solving various types of economic dispatch problem. Energy 34, 757–766 (2009)

    Article  Google Scholar 

  29. Yalcionoz, T., Altun, H., Uzam, M.: Economic dispatch solution using a genetic algorithm based on arithmetic crossover. In: Proc. IEEE Proto Power Tech. Conf., Proto, Portugal (2001)

    Google Scholar 

  30. Pereira-Neto, A., Unsihuay, C., Saavedra, O.R.: Efficient evolutionary strategy optimization procedure to solve the nonconvex economic dispatch problem with generator constraints. IEE Proc. Gener. Transm. Distrib. 152, 653–660 (2005)

    Article  Google Scholar 

  31. Khorasany, R.M., Fesanghary, M.: A novel approach for synthesis of cost-optimal heat exchanger networks. Computers & Chemical Engineering 33, 1363–1370 (2009)

    Article  Google Scholar 

  32. Furman, K.C., Sahinidis, N.V.: Computational complexity of heat exchanger network synthesis. Computers & Chemical Engineering 25, 1371–1390 (2001)

    Article  Google Scholar 

  33. Yee, T.F., Grossmann, I.E., Kravanja, Z.: Simultaneous optimization models for heat integration–I. Area and energy targeting and modeling of multi-stream exchangers. Computers & Chemical Engineering 14, 1151–1164 (1990)

    Article  Google Scholar 

  34. Yee, T.F., Grossmann, I.E.: Simultaneous optimization models for heat integration. II. Heat exchanger network synthesis. Computers & Chemical Engineering 14, 1165–1184 (1990)

    Article  Google Scholar 

  35. Lewin, R.: A Generalized method for HEN synthesis using stochastic optimization. II. Synthesis of cost-optimal networks, Computers & Chemical Engineering 22, 1387–1405 (1998)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Mechanical Engineering, Louisiana State University, Baton Rouge, LA, 70802, USA

    Mohammad Fesanghary

Authors
  1. Mohammad Fesanghary
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. iGlobal University, 7700 Little River Tpke. #600, Annandale, 22003, Virginia, USA

    Zong Woo Geem

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Fesanghary, M. (2010). An Introduction to the Hybrid HS-SQP Method and Its Applications. In: Geem, Z.W. (eds) Recent Advances In Harmony Search Algorithm. Studies in Computational Intelligence, vol 270. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04317-8_9

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-04317-8_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-04316-1

  • Online ISBN: 978-3-642-04317-8

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation