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Optimization of cryogenic processing parameters based on mathematical test functions using a newer hybrid approach (HAIS-GA)

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Abstract

The article introduces a newer hybrid method (HAIS-GA) of optimizing and choosing the ideal machining parameters for cryogenic processing. It depends on two late methodologies genetic algorithm (GA) and artificial immune system (AIS), which are connected to numerous troublesome combinatorial streamlining issues with specific qualities and shortcomings. These developmental calculations are proposed to find the best arrangement of process factors for the clashing prerequisites in multi objective capacities. Hybrid model optimization also comes with challenges, such as selecting the right combination of techniques, tuning parameters, potential increases in complexity, and the need for expertise in multiple optimization methods. The key reason for this hybrid approach (HAIS-GA) is the improvement in the results that is achieved due to the characteristics of GA and AIS. Three test functions are employed to compare the outcomes in terms of these functions' ability to achieve the lowest value. Cryogenic processing is used to validate the optimised values that were obtained. The attained results showcase that HAIS-GA approach, in conclusion exhibits a more favourable minimal objective function within a reasonable duration. Due to the nature of Unrestricting to local optima, and it being self-adaptive HAIS-GA provides better result compared to GA and AIS. Based on the least value of the objective function and time for each method.

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Authors and Affiliations

  1. Department of Data Science and Computer Applications, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, 576104, India

    Rashmi L. Malghan

  2. School of Mechanical Engineering, VIT Bhopal, Sehore, Madhya Pradesh, 466114, India

    M. C. Karthik Rao

  3. Department of Mechanical and Industrial Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, India

    H. M. Vishwanatha

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All authors contributed to the study conception and design. Material preparation and data collection were performed by KRMC. Result analysis and the first draft of the manuscript was written by RLM. All authors commented on previous versions of the manuscript. Final draft was prepared by VHM. All authors read and approved the final manuscript.

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Correspondence to M. C. Karthik Rao.

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Malghan, R.L., Karthik Rao, M.C. & Vishwanatha, H.M. Optimization of cryogenic processing parameters based on mathematical test functions using a newer hybrid approach (HAIS-GA). Int J Interact Des Manuf (2023). https://doi.org/10.1007/s12008-023-01599-9

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