Skip to main content
SpringerLink
Log in

Magnetic Charged System Search

  • Chapter
  • First Online:
Advances in Metaheuristic Algorithms for Optimal Design of Structures

Abstract

This chapter consists of two parts. In first part, the standard Magnetic Charged System Search (MCSS) is presented and applied to different numerical examples to examine the efficiency of this algorithm. The results are compared to those of the original charged system search method [1].

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

Access this chapter

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 119.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Kaveh A, Motie Share MA, Moslehi M (2013) A new meta-heuristic algorithm for optimization: magnetic charged system search. Acta Mech 224(1):85–107

    Article  MATH  Google Scholar 

  2. Kaveh A, Jafarvand A, Mirzaei B (2014) An improved magnetic charged system search for optimization of truss structures with continuous and discrete variables. Asian J Civil Eng 15(1):95–105

    Google Scholar 

  3. Kaveh A, Talatahari S (2010) A novel heuristic optimization method: charged system search. Acta Mech 213(3–4):267–286

    Article  MATH  Google Scholar 

  4. Halliday D, Resnick R, Walker J (2008) Fundamentals of physics, 8th edn. Wiley, New York

    Google Scholar 

  5. Tsoulos IG (2008) Modifications of real code genetic algorithm for global optimization. Appl Math Comput 203:598–607

    Article  MATH  MathSciNet  Google Scholar 

  6. Kaveh A, Talatahari S (2010) Optimal design of truss structures via the charged system search algorithm. Struct Multidisp Optim 37(6):893–911

    Article  Google Scholar 

  7. Hines W, Montgomery D (1990) Probability and statistics in engineering and management science, 3rd edn. Wiley, New York

    MATH  Google Scholar 

  8. Suganthan PN, Hansen N, Liang, JJ, Deb K, Chen Y.-P, Auger A, Tiwari S (2005) Problem definitions and evaluation criteria for CEC 2005 Special Session on real-parameter optimization. Technical Report, Nanyang Technological University, Singapore and KanGAL report number 2005005

    Google Scholar 

  9. Garcia S, Molina D, Lozano M, Herrera F (2009) A study on the use of non-parametric tests for analyzing the evolutionary algorithms behavior: a case study on the CEC 2005 Special Session on Real Parameter Optimization. J Heurist 15:617–644

    Article  MATH  Google Scholar 

  10. Belegundu AD (1982) A study of mathematical programming methods for structural optimization. Ph.D. thesis, Department of Civil and Environmental Engineering, University of Iowa, Iowa, USA

    Google Scholar 

  11. Arora JS (2000) Introduction to optimum design. McGraw-Hill, New York (1989)

    Google Scholar 

  12. Coello CAC (2000) Use of a self-adaptive penalty approach for engineering optimization problems. Comput Ind 41:113–127

    Article  Google Scholar 

  13. Coello CAC, Montes EM (2002) Constraint-handling in genetic algorithms through the use of dominance-based tournament selection. Adv Eng Inform 16:193–203

    Article  Google Scholar 

  14. He Q, Wang L (2007) An effective co-evolutionary particle swarm optimization for constrained engineering design problems. Eng Appl Artif Intell 20:89–99

    Article  Google Scholar 

  15. Montes EM, Coello CAC (2008) An empirical study about the usefulness of evolution strategies to solve constrained optimization problems. Int J Gen Syst 37(4):443–473

    Article  MATH  MathSciNet  Google Scholar 

  16. Kaveh A, Talatahari S (2010) An improved ant colony optimization for constrained engineering design problems. Eng Comput 27(1):155–182

    Article  MATH  Google Scholar 

  17. Ragsdell KM, Phillips DT (1976) Optimal design of a class of welded structures using geometric programming. ASME J Eng Ind B 98(3):1021–1025

    Article  Google Scholar 

  18. Deb K (1991) Optimal design of a welded beam via genetic algorithms. AIAA J 29(11):2013–2015

    Article  Google Scholar 

  19. Sandgren E (1988) Nonlinear integer and discrete programming in mechanical design. In: Proceedings of the ASME design technology conference, Kissimine, FL, pp 95–105

    Google Scholar 

  20. Kannan BK, Kramer SN (1994) An augmented Lagrange multiplier based method for mixed integer discrete continuous optimization and its applications to mechanical design. Trans ASME J Mech Des 116:318–320

    Article  Google Scholar 

  21. Deb K, Gene AS (1997) A robust optimal design technique for mechanical component design. In: Dasgupta D, Michalewicz Z (eds) Evolutionary algorithms in engineering applications. Springer, Berlin, pp 497–514

    Chapter  Google Scholar 

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

    Article  MATH  MathSciNet  Google Scholar 

  23. Kaveh A, Talatahari S (2010) A charged system search with a fly to boundary method for discrete optimum design of truss structures. Asian J Civil Eng 11(3):277–293

    Google Scholar 

  24. Kaveh A, Farahmand Azar B, Talatahari S (2008) Ant colony optimization for design of space trusses. Int J Space Struct 23(3):167–181

    Article  Google Scholar 

  25. American Institute of Steel Construction (AISC) (1989) Manual of steel construction-allowable stress design, 9th edn. AISC, IL, Chicago

    Google Scholar 

  26. Camp C, Pezeshk S, Cao G (1998) Optimized design of two dimensional structures using a genetic algorithm. J Struct Eng ASCE 124(5):551–559

    Article  Google Scholar 

  27. Lee KS, Geem ZW (2004) A new structural optimization method based on the harmony search algorithm. Comput Struct 82:781–798

    Article  Google Scholar 

  28. Li LJ, Huang ZB, Liu F, Wu QH (2007) A heuristic particle swarm optimizer for optimization of pin connected structures. Comput Struct 85:340–349

    Article  Google Scholar 

  29. Kaveh A, Talatahari S (2009) Particle swarm optimizer, ant colony strategy and harmony search scheme hybridized for optimization of truss structures. Comput Struct 87:267–283

    Article  Google Scholar 

  30. Wu SJ, Chow PT (1995) Steady-state genetic algorithms for discrete optimization of trusses. Comput Struct 56(6):979–991

    Article  MATH  Google Scholar 

  31. Kaveh A, Talatahari S (2009) A particle swarm ant colony optimization for truss structures with discrete variables. J Construct Steel Res 65(8–9):1558–1568

    Article  Google Scholar 

  32. Kaveh A, Talatahari S (2010) Optimum design of skeletal structures using imperialist competitive algorithm. Comput Struct 88:1220–1229

    Article  Google Scholar 

  33. Kaveh A, Bakhshpoori T (2013) Optimum design of space trusses using cuckoo search algorithm with lévy flights. Iranian J Sci Technol: Trans Civil Eng 37:C1.1–15

    Google Scholar 

  34. Soh CK, Yang J (1996) Fuzzy controlled genetic algorithm search for shape optimization. J Comput Civil Eng ASCE 10(2):143–150

    Article  Google Scholar 

  35. Keleşoğlu O, Ülker M (2005) Fuzzy optimization geometrical nonlinear space truss design. Turkish J Eng Environ Sci 29:321–329

    Google Scholar 

  36. Saka MP (1990) Optimum design of pin-jointed steel structures with practical applications. J Struct Eng ASCE 116:2599–620

    Article  Google Scholar 

  37. Kaveh A, Khayatazad M (2013) Ray optimization for size and shape optimization of truss structures. Comput Struct 117:82–94

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. School of Civil Engineering, Centre of Excellence for Fundamental Studies in Structural Engineering, Iran University of Science and Technology, Tehran, Iran

    A. Kaveh

Authors
  1. A. Kaveh
    View author publications

    You can also search for this author in PubMed Google Scholar

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer International Publishing Switzerland

About this chapter

Cite this chapter

Kaveh, A. (2014). Magnetic Charged System Search. In: Advances in Metaheuristic Algorithms for Optimal Design of Structures. Springer, Cham. https://doi.org/10.1007/978-3-319-05549-7_4

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-05549-7_4

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-05548-0

  • Online ISBN: 978-3-319-05549-7

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation