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Colliding bodies optimization: A novel meta-heuristic method
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A new optimizer using particle swarm theory
Eberhart, R., & Kennedy, J. (2002) · MHS'95. Proceedings of the Sixth International Symposium on Micro Machine and Human Science · doi:10.1109/mhs.1995.494215 · Cited by 16,067
Research works printed but not linked: 24
- Dorigo, 1996, The ant system: optimization by a colony of cooperating agents, IEEE Trans Syst Man Cybern B, 26, 29, 10.1109/3477.484436 · DOI · Paper page
- Erol, 2006, New optimization method: big bang-big crunch, Adv Eng Softw, 37, 106, 10.1016/j.advengsoft.2005.04.005 · DOI · Paper page
- Kaveh, 2010, A novel heuristic optimization method: charged system search, Acta Mech, 213, 267, 10.1007/s00707-009-0270-4 · DOI · Paper page
- Kaveh, 2012, A novel meta-heuristic method: ray optimization, Comput Struct, 112–113, 283, 10.1016/j.compstruc.2012.09.003 · DOI
- Kaveh, 2014, Democratic PSO for truss layout and size optimization with frequency constraints, Comput Struct, 130, 10, 10.1016/j.compstruc.2013.09.002 · DOI
- Kaveh, 2013, A new optimization method: dolphin echolocation, Adv Eng Softw, 59, 53, 10.1016/j.advengsoft.2013.03.004 · DOI · Paper page
- Sadollah, 2012, Mine blast algorithm for optimization of truss structures with discrete variable, Comput Struct, 102, 49, 10.1016/j.compstruc.2012.03.013 · DOI
- Kaveh, 2013, Optimal design of structures with multiple natural frequency constraints using a hybridized BB-BC/Quasi-Newton algorithm, Period Polytech – Civil Eng, 57, 1, 10.3311/PPci.2139 · DOI
- Tsoulos, 2008, Modifications of real code genetic algorithm for global optimization, Appl Math Comput, 203, 598, 10.1016/j.amc.2008.05.005 · DOI
- Ragsdell, 1976, Optimal design of a class of welded structures using geometric programming, ASME J Eng Ind Ser B, 98, 1021, 10.1115/1.3438995 · DOI
- Deb, 1991, Optimal design of a welded beam via genetic algorithms, AIAA J, 29, 2013, 10.2514/3.10834 · DOI
- Coello, 2000, Use of a self-adaptive penalty approach for engineering optimization problems, Comput Ind, 41, 113, 10.1016/S0166-3615(99)00046-9 · DOI · Paper page
- Coello, 1992, Constraint-handling in genetic algorithms through the use of dominance-based tournament, IEEE Trans Reliability, 41, 576
- He, 2007, An effective co-evolutionary particle swarm optimization for constrained engineering design problem, Eng Appl Artif Intell, 20, 89, 10.1016/j.engappai.2006.03.003 · DOI · Paper page
- Montes, 2008, An empirical study about the usefulness of evolution strategies to solve constrained optimization problems, Int J Gen Syst, 37, 443, 10.1080/03081070701303470 · DOI
- Sandgren E. Nonlinear integer and discrete programming in mechanical design. In: Proceedings of the ASME design technology conference, Kissimine, FL; 1988. p. 95–105. · DOI
- Kannan, 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, 10.1115/1.2919393 · DOI
- Belegundu AD. A study of mathematical programming methods for structural optimization. Ph.D. thesis, Department of Civil and Environmental Engineering, University of Iowa, Iowa, USA; 1982.
- Soh, 1996, Fuzzy controlled genetic algorithm search for shape optimization, J Comput Civil Eng, ASCE, 10, 143, 10.1061/(ASCE)0887-3801(1996)10:2(143) · doi:10.1061/(asce)0887-3801(1996)10:2(143
- Lee, 2004, A new structural optimization method based on the harmony search algorithm, Comput Struct, 82, 781, 10.1016/j.compstruc.2004.01.002 · DOI
- Kaveh, 2009, Particle swarm optimizer, ant colony strategy and harmony search scheme hybridized for optimization of truss structures, Comput Struct, 87, 267, 10.1016/j.compstruc.2009.01.003 · DOI
- Kaveh, 2013, An improved ray optimization algorithm for design of truss structures, Period Polytech – Civil Eng, 57, 97, 10.3311/PPci.7166 · DOI
- Saka, 1990, Optimum design of pin-jointed steel structures with practical applications, J Struct Eng, ASCE, 116, 2599, 10.1061/(ASCE)0733-9445(1990)116:10(2599) · doi:10.1061/(asce)0733-9445(1990)116:10(2599
- Degertekin, 2013, Sizing truss structures using teaching-learning-based optimization, Comput Struct, 119, 177, 10.1016/j.compstruc.2012.12.011 · DOI
Cited by
Ahmad, F., Iqbal, A., Ashraf, I., Marzband, M., & khan, I. (2022) · Energy Reports · doi:10.1016/j.egyr.2022.01.180 · Cited by 533
“Colliding bodies optimization (CBO) is a population-based evolutionary method that mimics the rules of object collision [ 82 ] .”
Metadata
- Authors
- Kaveh, A., & Mahdavi, V. R.
- Venue
- Computers & Structures
- Publisher
- Elsevier BV
- Published
- 2014-07
- Volume
- 139
- Pages
- 18-27
- ISSN
- 0045-7949 (ISSN-L)
- OpenAlex
- W1984130668
- Cited by
- 687
- References
- 1
- FWCI
- 53.81
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.