Abstract
The concept of the “fields of forces” is utilized as a general model of meta-heuristic algorithms from physics. This model is capable of representing the properties of different meta-heuristics and in this paper, it is used to enhance the recently developed meta-heuristic, the Charged System Search (CSS). The enhanced CSS is then applied to determine the configuration optimum design of structures. Comparison of the results for some examples, illustrates the efficiency of the enhanced CSS algorithm.
Similar content being viewed by others
References
American Institute of Steel Construction (AISC) (1989) Manual of steel construction-allowable stress design, 9th edn. Chicago, IL
Dorigo M (1992) Optimization, learning and natural algorithms. PhD thesis, Dip. Elettronicae Informazione, Politecnico di Milano, Italy
Dorigo M, Maniezzo V, Colorni A (1996) The ant system: optimization by a colony of cooperating agents. IEEE Trans Syst Man Cybern Part B 26(1):1–13
Eberhart RC, Kennedy J (1995) A new optimizer using particle swarm theory. In: Proceedings of the sixth international symposium on micro machine and human science. Nagoya, Japan, pp 1942–1948
Erol OK, Eksin I (2006) New optimization method: Big Bang–Big Crunch. Adv Eng Softw 37:106–111
Felix JE (1981) Shape optimization of trusses subjected to strength, displacement, and frequency constraints. Master’s Thesis, Naval Postgraduate School
Geem ZW, Kim JH, Loganathan GV (2001) A new heuristic optimization algorithm; harmony search. Simulation 76:60–68
Gribbin J (1998) Q is for quantum: particle physics from A to Z. Weidenfeld & Nicolson, London
Holland JH (1975) Adaptation in natural and artificial systems. University of Michigan Press, Ann Arbor
Imai K, Schmit LA (1981) Configuration optimisation of trusses. J Struct Div, ASCE 107:745–756
Kaveh A, Kalatjari V (2004) Size/geometry optimization of trusses by the force method and genetic algorithm. Z Angew Math Mech 84(5):347–357
Kaveh A, Talatahari S (2009a) Size optimization of space trusses using Big Bang–Big Crunch algorithm. Comput Struct 87(17–18):1129–1140
Kaveh A, Talatahari S (2009b) Particle swarm optimizer, ant colony strategy and harmony search scheme hybridized for optimization of truss structures. Comput Struct 87(5–6):267–283
Kaveh A, Talatahari S (2010a) Optimal design of Schwedler and ribbed domes via hybrid Big Bang–Big Crunch algorithm. J Constr Steel Res 66(3):412–419
Kaveh A, Talatahari S (2010b) A novel heuristic optimization method: charged system search. Acta Mech 213(3–4):267–289
Kaveh A, Talatahari S (2010c) Optimal design of skeletal structures via the charged system search algorithm. Struct Multidisc Optim 41(6):893–911
Kaveh A, Talatahari S (2010d) Charged system search for optimum grillage systems design using the LRFD-AISC code. J Constr Steel Res 66(6):767–771
Kaveh A, Farahmand Azar B, Talatahari S (2008) Ant colony optimization for design of space trusses. Int J Space Struct 23(3):167–181
Lee KS, Geem ZW (2004) A new structural optimization method based on the harmony search algorithm. Comput Struct 82:781–798
Rajeev S, Krishnamoorthy CS (1992) Discrete optimization of structures using genetic algorithms. J Struct Eng ASCE 118(5):1233–1250
Rahami H, Kaveh A, Gholipoura Y (2008) Sizing, geometry and topology optimization of trusses via force method and genetic algorithm. Eng Struct 30:2360–2369
Rajeev S, Krishnamoorthy CS (1997) Genetic algorithms based methodologies for design optimisation of trusses. J Struct Eng 123:350–358
Schutte JF, Groenwold AA (2003) Sizing design of truss structures using particle swarms. Struct Multidisc Optim 25:261–269
Soh CK, Yang JP (1996) Fuzzy controlled genetic algorithm for shape optimisation. J Comput Civ Eng, ASCE 10(2):143–150
Vanderplaats GN, Moses F (1972) Automated design of trusses for optimum geometry. J Struct Div, ASCE 98:671–690
Wu SJ, Chow PT (1995) Integrated discrete and configuration optimization of trusses using genetic algorithms. Comput Struct 55(4):695–702
Yang JP (1996) Development of genetic algorithm-based approach for structural optimization. Ph.D. Thesis, Nanyang Technology University, Singapore
Yang JP, Soh CK (1997) Structural optimization by genetic algorithms with tournament selection. J Comput Civ Eng, ASCE 11(3):195–200
Zheng QZ, Querin OM, Barton DC (2006) Geometry and sizing optimisation of discrete structure using the genetic programming method. Struct Multidisc Optim 231:452–461
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Kaveh, A., Talatahari, S. An enhanced charged system search for configuration optimization using the concept of fields of forces. Struct Multidisc Optim 43, 339–351 (2011). https://doi.org/10.1007/s00158-010-0571-1
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00158-010-0571-1