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Modified Big Bang–Big Crunch Algorithm

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Advances in Metaheuristic Algorithms for Optimal Design of Structures

Abstract

The Big Bang–Big Crunch (BB–BC) method developed by Erol and Eksin [1] consists of two phases: a Big Bang phase, and a Big Crunch phase. In the Big Bang phase, candidate solutions are randomly distributed over the search space. Similar to other evolutionary algorithms, initial solutions are spread all over the search space in a uniform manner in the first Big Bang. Erol and Eksin [1] associated the random nature of the Big Bang to energy dissipation or the transformation from an ordered state (a convergent solution) to a disorder or chaos state (new set of solution candidates).

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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

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  1. A. Kaveh
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© 2014 Springer International Publishing Switzerland

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Kaveh, A. (2014). Modified Big Bang–Big Crunch Algorithm. In: Advances in Metaheuristic Algorithms for Optimal Design of Structures. Springer, Cham. https://doi.org/10.1007/978-3-319-05549-7_9

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  • DOI: https://doi.org/10.1007/978-3-319-05549-7_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-05548-0

  • Online ISBN: 978-3-319-05549-7

  • eBook Packages: EngineeringEngineering (R0)

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