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A Hybrid Fireworks Explosion Algorithm

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Computational Intelligence and Intelligent Systems (ISICA 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 873))

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Abstract

In order to improve the abilities of global exploration and local exploitation for the fireworks explosion algorithm (FA), the opposition-based learning method is introduced to generate the opposition-based population and to expand the exploration range of the FA. In addition, a computing method of adaptive adjustment of explosion radius is proposed based on the fitness differences of the individuals in the population. These above strategies are integrated to form an adaptive fireworks explosion optimization algorithm with opposition-based learning. The presented FA is experimented with other four swarm intelligence optimization algorithms, and the results show that our improved FA clearly outperforms the others in the performance of convergence and accuracy.

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Acknowledgement

This work was supported by Natural Science Foundation of China (51675265), Jiangxi province humanities and social sciences key base project (JD17127), Key Research and Development Project of Jiangxi Province (20071BBE50049), and Jiangxi Province Education Science Planning Project (17YB276). The authors gratefully acknowledge these supports.

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Authors and Affiliations

  1. State Key Laboratory of Mechanics and Control of Mechanical Structures, Nanjing University of Aeronautics and Astronautics, 29 Yudao Street, Nanjing, 210016, Jiangsu, China

    Liping Wang & Renwen Chen

  2. School of Information and Computer Engineering, Pingxiang University, Pingxiang, 337000, China

    Liping Wang

  3. School of Computer and Information Engineering, Guangxi Teachers Education University, Nanning, 530023, China

    Chengwang Xie

Authors
  1. Liping Wang
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  2. Renwen Chen
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  3. Chengwang Xie
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Corresponding author

Correspondence to Renwen Chen .

Editor information

Editors and Affiliations

  1. College of Mathematics and Informatics, South China Agricultural University, Guangzhou, China

    Kangshun Li

  2. Jiangxi University of Science and Technology, Ganzhou, Jiangxi, China

    Wei Li

  3. Chemical and Petroleum Engineering, University of Calgary, Calgary, Alberta, Canada

    Zhangxing Chen

  4. School of Computer Science and Engineering, The University of Aizu, Aizu-Wakamatsu, Fukushima, Japan

    Yong Liu

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Wang, L., Chen, R., Xie, C. (2018). A Hybrid Fireworks Explosion Algorithm. In: Li, K., Li, W., Chen, Z., Liu, Y. (eds) Computational Intelligence and Intelligent Systems. ISICA 2017. Communications in Computer and Information Science, vol 873. Springer, Singapore. https://doi.org/10.1007/978-981-13-1648-7_17

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  • DOI: https://doi.org/10.1007/978-981-13-1648-7_17

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-1647-0

  • Online ISBN: 978-981-13-1648-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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