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FWA with Controlling Exploration and Exploitation

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Fireworks Algorithm
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Abstract

Since FWA was proposed in 2010 [1], it has shown its significance and superiority in dealing with the optimization problems. However, calculation of the number of explosion sparks and the amplitude of firework explosion of FWA should dynamically control the exploration and exploitation of searching space with iteration. The mutation operator of FWA needs to generate the search diversity. This chapter provides a new method to calculate the number of explosion sparks and the amplitude of firework explosions. By designing a transfer function, the rank number of a firework is mapped to the scale of the calculation of scope and spark number of a firework explosion. A parameter is used to dynamically control the exploration and exploitation of FWA with iteration going on. In addition, this chapter uses a new random mutation operator to control the diversity of FWA search.

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References

  1. Y. Tan, Y. Zhu, Fireworks algorithm for optimization, in Advances in Swarm Intelligence (Springer, Berlin, 2010), pp. 355–364

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  2. J. Liu, S. Zheng, Y. Tan, The improvement on controlling exploration and exploitation of firework algorithm. Advance in Swarm Intelligence, vol. 7928 (Springer 2013), pp.11–23

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Correspondence to Ying Tan .

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Tan, Y. (2015). FWA with Controlling Exploration and Exploitation. In: Fireworks Algorithm. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-46353-6_5

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  • DOI: https://doi.org/10.1007/978-3-662-46353-6_5

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-46352-9

  • Online ISBN: 978-3-662-46353-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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