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International Conference on Swarm Intelligence

ICSI 2019: Advances in Swarm Intelligence pp 417–428Cite as

Framework for Evaluation of Swarm-Based Chemical Reaction Optimization Algorithm

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 11655))

Abstract

Chemical Reaction Algorithm (CRO) is a metaheuristic for optimization inspired by the nature of chemical reactions. A chemical reaction is a natural process of transforming the unstable substances to the stable ones. In this research paper a hybrid chemical reaction optimization algorithm based on local search and global search with an intuitive graphical evaluation framework is presented, which combines the advantages of Chemical Reaction Optimization and Particle Swarm Optimization.

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References

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Author information

Authors and Affiliations

  1. Baden-Wuerttemberg Cooperative State University, Lohrtalweg 10, 74821, Mosbach, Germany

    Fabian Schulz & Carsten Mueller

Authors
  1. Fabian Schulz
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  2. Carsten Mueller
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Corresponding author

Correspondence to Fabian Schulz .

Editor information

Editors and Affiliations

  1. Peking University, Beijing, China

    Ying Tan

  2. Southern University of Science and Technology, Shenzhen, China

    Yuhui Shi

  3. Shenzhen University, Shenzhen, China

    Ben Niu

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Schulz, F., Mueller, C. (2019). Framework for Evaluation of Swarm-Based Chemical Reaction Optimization Algorithm. In: Tan, Y., Shi, Y., Niu, B. (eds) Advances in Swarm Intelligence. ICSI 2019. Lecture Notes in Computer Science(), vol 11655. Springer, Cham. https://doi.org/10.1007/978-3-030-26369-0_39

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  • DOI: https://doi.org/10.1007/978-3-030-26369-0_39

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-26368-3

  • Online ISBN: 978-3-030-26369-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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