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Chaotic Stochastic Paint Optimizer (CSPO)

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Proceedings of 7th International Conference on Harmony Search, Soft Computing and Applications

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 140))

Abstract

Optimization of engineering problems requires addressing several common difficulties in the optimization problem, including but not limited to a large number of decision variables, multiple often conflicting objectives, constraints, locally optimal solutions, and expensive objective functions. It is pretty common that an algorithm performs very well on test functions but struggles when applying to real-world problems. This paper proposes a chaotic version of the recently proposed algorithm called chaotic stochastic paint optimizer (CSPO). A comparative study with other meta-heuristics demonstrates the merits of this algorithm and the change applied in this work.

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Author information

Authors and Affiliations

  1. Department of Civil and Environmental Engineering, Florida International University, Miami, FL, USA

    Nima Khodadadi

  2. Department of Engineering Physics, Polytechnique Montréal, Montreal, Canada

    Seyed Mohammad Mirjalili

  3. Centre for Artificial Intelligence Research and Optimisation, Torrens University Australia, Brisbane, QLD, Australia

    Seyedeh Zahra Mirjalili & Seyedali Mirjalili

  4. Yonsei Frontier Lab, Yonsei University, Seoul, South Korea

    Seyedali Mirjalili

Authors
  1. Nima Khodadadi
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  2. Seyed Mohammad Mirjalili
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  3. Seyedeh Zahra Mirjalili
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  4. Seyedali Mirjalili
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Corresponding author

Correspondence to Seyedali Mirjalili .

Editor information

Editors and Affiliations

  1. School of Civil, Environmental and Architectural Engineering, Korea University, Seoul, Korea (Republic of)

    Joong Hoon Kim

  2. Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, India

    Kusum Deep

  3. Department of Energy IT, Gachon University, Seongnam, Korea (Republic of)

    Zong Woo Geem

  4. School of Mechanical Engineering, University of Science and Culture, Tehran, Iran

    Ali Sadollah

  5. Department of Mathematics, Dr. B. R. Ambedkar National Institute of Technology, Jalandhar, India

    Anupam Yadav

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© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Khodadadi, N., Mirjalili, S.M., Mirjalili, S.Z., Mirjalili, S. (2022). Chaotic Stochastic Paint Optimizer (CSPO). In: Kim, J.H., Deep, K., Geem, Z.W., Sadollah, A., Yadav, A. (eds) Proceedings of 7th International Conference on Harmony Search, Soft Computing and Applications. Lecture Notes on Data Engineering and Communications Technologies, vol 140. Springer, Singapore. https://doi.org/10.1007/978-981-19-2948-9_19

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