Skip to main content
Top

2021 | OriginalPaper | Chapter

Optimization of Metallic Structures by Applying Genetic Algorithm

Authors : Mohammed Issam Eddine Terki Hassaine, Sidi Mohammed Bourdim, Abdelkader Benanane, Yassine Zelmat

Published in: Sustainability and Automation in Smart Constructions

Publisher: Springer International Publishing

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

Computer-aided design is becoming a reality today through the significant development of computing tools. These calculation codes are often intended for an advanced project design phase. On the other hand, there are very few tools for early design assistance or pre-project design. Therefore, in this research, a methodology is proposed for solving the problem of the global design of a simple metal structure based on the genetic algorithms approach using Matlab. A comparative study is made on a 2D metal gantry using the profiles available in the Algerian market, namely IPE—IPN and HEA—HEB so as to have an optimal dimensioning in the inelastic field.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Literature
go back to reference Azad, M. A. K., Rocha, A. M. A., & Fernandes, E. M. (2015). Solving large 0–1 multidimensional knapsack problems by a new simplified binary artificial fish swarm algorithm. Journal of Mathematical Modelling and Algorithms in Operations Research, 14(3), 313–330.MathSciNetCrossRef Azad, M. A. K., Rocha, A. M. A., & Fernandes, E. M. (2015). Solving large 0–1 multidimensional knapsack problems by a new simplified binary artificial fish swarm algorithm. Journal of Mathematical Modelling and Algorithms in Operations Research, 14(3), 313–330.MathSciNetCrossRef
go back to reference Benanane, A. (2007, December). Réalization of a multi-function optimization platform applied to metal constructions Benanane Abdelkader These in order to obtain the state doctoral degree. Faculty of Architecture and Civil engineering, University of Science and Technology. Algeria c Department of Civil Engineering. Benanane, A. (2007, December). Réalization of a multi-function optimization platform applied to metal constructions Benanane Abdelkader These in order to obtain the state doctoral degree. Faculty of Architecture and Civil engineering, University of Science and Technology. Algeria c Department of Civil Engineering.
go back to reference Chantrelle, F. B., et al. (2011). Development of a multicriteria tool for optimizing the renovation of buildings. Applied Energy, 88(4), 1386–1394.CrossRef Chantrelle, F. B., et al. (2011). Development of a multicriteria tool for optimizing the renovation of buildings. Applied Energy, 88(4), 1386–1394.CrossRef
go back to reference Crawford, B., Soto, R., Berr´ıos, N., Johnson, F., Paredes, F., Castro, C., & Norero, E. (2015). A binary cat swarm optimization algorithm for the non unicost set covering problem. Mathematical Problems in Engineering, 2015. Crawford, B., Soto, R., Berr´ıos, N., Johnson, F., Paredes, F., Castro, C., & Norero, E. (2015). A binary cat swarm optimization algorithm for the non unicost set covering problem. Mathematical Problems in Engineering, 2015.
go back to reference De Jong, K. A. (1975). Analysis of the behavior of a class of genetic adaptive systems. Ph.D. dissertation, University of Michigan, Ann Arbor, MI. De Jong, K. A. (1975). Analysis of the behavior of a class of genetic adaptive systems. Ph.D. dissertation, University of Michigan, Ann Arbor, MI.
go back to reference Eisenhower, B., et al. (2012). A methodology for meta-model based optimization in building energy models. Energy and Buildings, 47, 292–301.CrossRef Eisenhower, B., et al. (2012). A methodology for meta-model based optimization in building energy models. Energy and Buildings, 47, 292–301.CrossRef
go back to reference Fogel, L. J., Owens, A. J., & Walsh, M. J. (1966). Artificial intelligence through simulated evolution. John Wiley & Sons. Fogel, L. J., Owens, A. J., & Walsh, M. J. (1966). Artificial intelligence through simulated evolution. John Wiley & Sons.
go back to reference Fulcher, J. (2008). Computational intelligence: An introduction. In Computational intelligence: A compendium (pp. 3–78). Springer. Fulcher, J. (2008). Computational intelligence: An introduction. In Computational intelligence: A compendium (pp. 3–78). Springer.
go back to reference Gandomi, A. H., Yang, X.-S., Talatahari, S., & Alavi, A. H. (2013). Firefly algorithm with chaos. Communications in Nonlinear Science and Numerical Simulation, 18(1), 89–98.MathSciNetCrossRef Gandomi, A. H., Yang, X.-S., Talatahari, S., & Alavi, A. H. (2013). Firefly algorithm with chaos. Communications in Nonlinear Science and Numerical Simulation, 18(1), 89–98.MathSciNetCrossRef
go back to reference Ghojogh, B., Sharifian, S., & Mohammad Zade, H. (2018). Tree-based optimization: A meta-algorithm for metaheuristic optimization. Ghojogh, B., Sharifian, S., & Mohammad Zade, H. (2018). Tree-based optimization: A meta-algorithm for metaheuristic optimization.
go back to reference Hamdy, M., Hasan, A., & Siren, K. (2011). Impact of adaptive thermal comfort criteria on building energy use and cooling equipment size using a multi-objective optimization scheme. Energy and Buildings, 43(9), 2055–2067.26. Hamdy, M., Hasan, A., & Siren, K. (2011). Impact of adaptive thermal comfort criteria on building energy use and cooling equipment size using a multi-objective optimization scheme. Energy and Buildings, 43(9), 2055–2067.26.
go back to reference Hamdy, M., Palonen, M., & Hasan, A. (2012). Implementation of pareto-archive NSGA-II algorithms to a nearly-zero-energy building optimisation problem. In J. Wright & M. Cook (Eds.), Proceedings of the 2012 building simulation and optimization conference (pp. 181–188). Loughborough, Leicestershire: Loughborough University. ISBN 978-1-897911-42-6. Hamdy, M., Palonen, M., & Hasan, A. (2012). Implementation of pareto-archive NSGA-II algorithms to a nearly-zero-energy building optimisation problem. In J. Wright & M. Cook (Eds.), Proceedings of the 2012 building simulation and optimization conference (pp. 181–188). Loughborough, Leicestershire: Loughborough University. ISBN 978-1-897911-42-6.
go back to reference Hatamlou, A. (2013). Black hole: A new heuristic optimization approach for data clustering. Information Sciences, 222, 175–184.MathSciNetCrossRef Hatamlou, A. (2013). Black hole: A new heuristic optimization approach for data clustering. Information Sciences, 222, 175–184.MathSciNetCrossRef
go back to reference Holland, J., & Goldberg, D. (1989). Genetic algorithms in search, optimization and machine learning. Massachusetts: Addison-Wesley. Holland, J., & Goldberg, D. (1989). Genetic algorithms in search, optimization and machine learning. Massachusetts: Addison-Wesley.
go back to reference Hopfe, C. J., et al. (2013). Robust multi-criteria design optimisation in building design. In J. Wright & M. Cook (Eds.), Proceedings of the 2012 building simulation and optimization conference (pp. 118–125). Loughborough University. ISBN 978-1-897911-42-6. Hopfe, C. J., et al. (2013). Robust multi-criteria design optimisation in building design. In J. Wright & M. Cook (Eds.), Proceedings of the 2012 building simulation and optimization conference (pp. 118–125). Loughborough University. ISBN 978-1-897911-42-6.
go back to reference Jin, Q., & Overend, M. (2012). Facade renovation for a public building based on a whole-life value approach. In J. Wright & M. Cook (Eds.), Proceedings of the 2012 building simulation and optimization conference (pp. 378–385). Loughborough, Leicestershire: Loughborough University. Jin, Q., & Overend, M. (2012). Facade renovation for a public building based on a whole-life value approach. In J. Wright & M. Cook (Eds.), Proceedings of the 2012 building simulation and optimization conference (pp. 378–385). Loughborough, Leicestershire: Loughborough University.
go back to reference John, H. (1992). Adaptation in natural and artificial systems: An introductory analysis with applications to biology, control and artificial intelligence. Cambridge, MA: MIT Press. John, H. (1992). Adaptation in natural and artificial systems: An introductory analysis with applications to biology, control and artificial intelligence. Cambridge, MA: MIT Press.
go back to reference Koza, J. R. (1992). Genetic programming: On the programming of computers by natural selection. MIT Press. Koza, J. R. (1992). Genetic programming: On the programming of computers by natural selection. MIT Press.
go back to reference Lee, J. H., & Lee, J. H. (2007). Optimization of indoor climate conditioning with passive and active methods using GA and CFD. Building and Environment, 42(9), 3333–3340. Lee, J. H., & Lee, J. H. (2007). Optimization of indoor climate conditioning with passive and active methods using GA and CFD. Building and Environment, 42(9), 3333–3340.
go back to reference Mirjalili, S. (2015). The ant lion optimizer. Advances in Engineering Software, 83, 80–98.CrossRef Mirjalili, S. (2015). The ant lion optimizer. Advances in Engineering Software, 83, 80–98.CrossRef
go back to reference Mirjalili, S., Mirjalili, S. M., & Yang, X.-S. (2014a). Binary bat algorithm. Neural Computing and Applications, 25(3–4), 663–681.CrossRef Mirjalili, S., Mirjalili, S. M., & Yang, X.-S. (2014a). Binary bat algorithm. Neural Computing and Applications, 25(3–4), 663–681.CrossRef
go back to reference Mirjalili, S., Mirjalili, S. M., & Lewis, A. (2014b). Grey wolf optimizer. Advances in Engineering Software, 69, 46–61.CrossRef Mirjalili, S., Mirjalili, S. M., & Lewis, A. (2014b). Grey wolf optimizer. Advances in Engineering Software, 69, 46–61.CrossRef
go back to reference Nguyen, A. T. (2013). Sustainable housing in Vietnam: Climate responsive design strategies to optimize thermalcomfort. PhD thesis. Universite de Liege. Nguyen, A. T. (2013). Sustainable housing in Vietnam: Climate responsive design strategies to optimize thermalcomfort. PhD thesis. Universite de Liege.
go back to reference Roy, R., Hinduja, S., & Teti, R. (2008). Recent advances in engineering design optimisation: Challenges and future trends. CIRP Annals—Manufacturing Technology, 57(2), 697–715.CrossRef Roy, R., Hinduja, S., & Teti, R. (2008). Recent advances in engineering design optimisation: Challenges and future trends. CIRP Annals—Manufacturing Technology, 57(2), 697–715.CrossRef
go back to reference Sahab, M. G., Toropov, V. V., & Gandomi, A. H. (2013). A review on traditional and modern structural optimization: problems and techniques. In A. H. Gandomi et al. (Eds.), Metaheuristic applications in structures and infrastructures (pp. 25–47). Oxford: Elsevier. ISBN 9780123983640. Sahab, M. G., Toropov, V. V., & Gandomi, A. H. (2013). A review on traditional and modern structural optimization: problems and techniques. In A. H. Gandomi et al. (Eds.), Metaheuristic applications in structures and infrastructures (pp. 25–47). Oxford: Elsevier. ISBN 9780123983640.
go back to reference Talbi, E. -G. (2009). Metaheuristics: From design to implementation, vol. 74. John Wiley & Sons. Talbi, E. -G. (2009). Metaheuristics: From design to implementation, vol. 74. John Wiley & Sons.
go back to reference Uymaz, S. A., Tezel, G., & Yel, E. (2015). Artificial algae algorithm (aaa) for nonlinear global optimization. Applied Soft Computing, 31, 153–171.CrossRef Uymaz, S. A., Tezel, G., & Yel, E. (2015). Artificial algae algorithm (aaa) for nonlinear global optimization. Applied Soft Computing, 31, 153–171.CrossRef
go back to reference Yang, X. -S. (2010). Nature-inspired metaheuristic algorithms. Luniver Press. Yang, X. -S. (2010). Nature-inspired metaheuristic algorithms. Luniver Press.
Metadata
Title
Optimization of Metallic Structures by Applying Genetic Algorithm
Authors
Mohammed Issam Eddine Terki Hassaine
Sidi Mohammed Bourdim
Abdelkader Benanane
Yassine Zelmat
Copyright Year
2021
DOI
https://doi.org/10.1007/978-3-030-35533-3_41