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Big Bang–Big Crunch Algorithm

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Innovative Computational Intelligence: A Rough Guide to 134 Clever Algorithms

Part of the book series: Intelligent Systems Reference Library ((ISRL,volume 62))

Abstract

In this chapter, the big bang–big crunch (BB–BC), a global optimization method inspired from one of the cosmological theories known as closed universe, is introduced. We first, in Sect. 18.1, describe the background knowledge regarding the big bang and big crunch. Then, Sect. 18.2 details the fundamentals of BB–BC, the selected variants of BB–BC, and the representative BB–BC application, respectively. Finally, Sect. 18.3 draws the conclusions of this chapter.

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Authors and Affiliations

  1. Faculty of Engineering, Built Environment and Information Technology, Department of Mechanical Engineering and Aeronautical Engineering, University of Pretoria, Pretoria, South Africa

    Bo Xing

  2. Department of New Product Development, Meiyuan Mould Design and Manufacturing Co., Ltd., Xianghe, People’s Republic of China

    Wen-Jing Gao

Authors
  1. Bo Xing
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  2. Wen-Jing Gao
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Correspondence to Bo Xing .

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© 2014 Springer International Publishing Switzerland

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Xing, B., Gao, WJ. (2014). Big Bang–Big Crunch Algorithm. In: Innovative Computational Intelligence: A Rough Guide to 134 Clever Algorithms. Intelligent Systems Reference Library, vol 62. Springer, Cham. https://doi.org/10.1007/978-3-319-03404-1_18

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  • DOI: https://doi.org/10.1007/978-3-319-03404-1_18

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-03403-4

  • Online ISBN: 978-3-319-03404-1

  • eBook Packages: EngineeringEngineering (R0)

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