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A best firework updating information guided adaptive fireworks algorithm

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Abstract

As a new variant of swarm intelligence algorithm, fireworks algorithm (FWA) has significant performance on solving single objective problems, and has been applied broadly on a number of fields. To further improve its performance, a best firework updating information guided adaptive fireworks algorithm (PgAFWA) is proposed, in which the evolving process is guided by the direction from previous best firework to the current best firework from two aspects: amplifying the explosion amplitude on the direction that the best firework is updated, and making more sparks which are generated by the best firework distributed on this direction to further enhance the exploring ability on it. Numerical experiment on CEC2015 test suite was implemented to verify performance of the proposed algorithm. The experiment results indicated that the PgAFWA outperformed the compared algorithms in terms of both convergence speed and solving quality.

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Acknowledgements

This work was supported by the National Natural Science Foundation Program of China (61572116, 61572117), and the Special Fund for Fundamental Research of Central Universities of Northeastern University (N150408001, N150404009, N161606003).

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Authors and Affiliations

  1. College of Computer Science & Engineering, Northeastern University, Shenyang, 110819, People’s Republic of China

    Haitong Zhao, Changsheng Zhang & Jiaxu Ning

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  1. Haitong Zhao
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  2. Changsheng Zhang
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  3. Jiaxu Ning
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Correspondence to Changsheng Zhang.

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We declare that we have no financial and personal relationships with other people or organizations that can inappropriately influence our work, there is no professional or other personal interest of any nature or kind in any product, service and/or comspany that could be construed as influencing the position presented in, or the review of, the manuscript entitled, “A Best Firework Updating Information Guided Adaptive Fireworks Algorithm”.

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Zhao, H., Zhang, C. & Ning, J. A best firework updating information guided adaptive fireworks algorithm. Neural Comput & Applic 31, 79–99 (2019). https://doi.org/10.1007/s00521-017-2981-0

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  • DOI: https://doi.org/10.1007/s00521-017-2981-0

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