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Prism refraction search: a novel physics-based metaheuristic algorithm

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Abstract

Single-solution-based optimization algorithms are computationally cheap yet powerful methods that can be used on various optimization tasks at minimal processing expenses. However, there is a considerable shortage of research in this domain, resulting in only a handful of proposed algorithms over the last four decades. This study proposes the Prism Refraction Search (PRS), a novel, simple yet efficient, single-solution-based metaheuristic algorithm for single-objective real-parameter optimization. PRS is a physics-inspired algorithm modeled on a well-known optimization paradigm in ray optics arising from the refraction of light through a triangular prism. The key novelty lies in its scientifically sound background that is supported by the well-established laws of physical optics. The proposed algorithm is evaluated on several numerical objectives, including 23 classical benchmark functions, the CEC-2017 test suite, and five standard real-world engineering design problems. Further, the results are analyzed using standard statistical tests to prove their significance. Extensive experiments and comparisons with state-of-the-art metaheuristic algorithms in the literature justify the robustness and competitive performance of the PRS algorithm as a lightweight and efficient optimization strategy.

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Data availability

The data used to support the finding are cited within the article. Also, the datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.

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Authors and Affiliations

  1. Department of Electrical Engineering, Jadavpur University, Kolkata, India

    Rohit Kundu

  2. Department of Information Technology, Jadavpur University, Kolkata, India

    Soumitri Chattopadhyay

  3. Department of Medical Biophysics, University of Toronto, Toronto, Canada

    Sayan Nag

  4. Departamento de Ingeniería Electro-Fotónica, Universidad de Guadalajara, CUCEI, Guadalajara, Mexico

    Mario A. Navarro & Diego Oliva

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  1. Rohit Kundu
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Contributions

RH, SC and MAN performed the experiments. SN and DO Wrote the manuscript. All authors conceptualized the proposal and reviewed the manuscript. All authors contributed equally to the study conception and design.

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Correspondence to Diego Oliva.

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Kundu, R., Chattopadhyay, S., Nag, S. et al. Prism refraction search: a novel physics-based metaheuristic algorithm. J Supercomput (2024). https://doi.org/10.1007/s11227-023-05790-3

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