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Adam Inspired Dynastic Optimization Algorithm - A fresh look at Wind Turbine Micrositing

Authors

  • Shafiq-ur-Rehman Massan

    Khadim Ali Shah Bukhari Institute of Science and Technology, Karachi, Sindh, Pakistan
    Author

  • Asim Imdad Wagan

    AksIQ, Karachi, Sindh, Pakistan
    Author

  • Muhammad Mujtaba Shaikh

    Department of Basic Sciences and Related Studies, Mehran University of Engineering and Technology, Jamshoro, Sindh, Pakistan
    Author

DOI:

https://doi.org/10.22581/muet1982.0370

Keywords:

Soft Computing, Adam Optimizer, Engineering Optimization, Wind Turbine Micrositing, Dynastic Optimization Algorithm (DOA), Genetic Algorithm (GA)

Abstract

This paper introduces AIDOA (Adam Inspired Dynastic Optimization Algorithm), a novel optimization algorithm that combines the exploratory power of dynastic optimization with the adaptive learning rate mechanism inspired by the Adam Optimization Algorithm. We apply AIDOA to the complex problem of wind farm layout optimization, demonstrating its efficacy in finding optimal wind turbine placement in a limited space of 1km by 1 km, the objective function maximizes power output and minimizes the cost. Our results show that the results of the AIDOA are encouraging with respect to the optimal wind farm efficiency and reduction in layout optimization time through a refactored and optimized code.

The AIDOA is adaptive thereby allowing it to populate the complex optimization landscape of wind farm area efficiently, making it a promising tool for renewable energy optimization and beyond.

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References

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Published

2025-10-28

Issue

Vol. 44 No. 4 (2025): October Issue

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Articles

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How to Cite

Adam Inspired Dynastic Optimization Algorithm - A fresh look at Wind Turbine Micrositing. (2025). Mehran University Research Journal of Engineering and Technology, 44(4), 120-132. https://doi.org/10.22581/muet1982.0370

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