I am Yakubu Abdullahi, an [login to view URL]. degree holder in Mechanical Engineering with expertise in optimization algorithms and advanced computational tools like MATLAB and Python.
In this service, I offer implementation of metaheuristic evolutionary algorithms for research, focusing on process parameter optimization, predictive modeling, and objective function development. I can help generate regression equations from your data, predict optimal parameters based on your objectives, and present detailed results supporting these solutions.
This service also includes optimization of Support Vector Machine (SVM) parameters to improve classification accuracy.
Using Python and MATLAB, I specialize in implementing a wide range of optimization algorithms, such as:
- Salp Swarm Optimization
- Whale Optimization Algorithm
- Gaining–Sharing Knowledge (GSK)
- Genetic Algorithm
- Particle Swarm Optimization (PSO)
- Teaching-Learning-Based Optimization (TLBO)
- Firefly Optimization Algorithm
- Grey Wolf Optimization
to solve a wide range of optimization problems in various fields, Maximum Power Point Tracking problems can also be solved using this methods
Additionally, I have experience with Finite Element Analysis (FEA) for structural and mechanical simulations.
Whether you need optimization for research, engineering design, or machine learning models, I provide expert solutions tailored to your needs. Start achieving better results today—place an order to accelerate your projects with confidence.
Working with Mr. Yakubu was an absolute pleasure. He was incredibly prompt with his replies, delivered exactly what was promised quickly, and his work was of exceptional quality, precisely meeting my requirements. His experience and seamless communication made the project realization smooth and efficient. Highly recommend for anyone seeking top-notch professionalism and expertise!
Conduct research on production and manufacturing optimization
4월, 2018 - 선물
•
6 , 8
교육
University of Lagos
2020 - 2022
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2
M.sc in Mechanical Engineering
Nigeria
2020 - 2022
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2
페이퍼
A comparison of two hybrid optimization techniques: the Taguchi-BBD-firefly and the Taguchi-regr...
Journal of Engineering and Applied Science 70(1)
The expanding proliferation of components for engineering applications requires greater optimisation of parameters, which consequently increases the need for more efficient boring practices. The Taguchi Pareto-Box Behnken design is an effective optimisation procedure for the process parametric optimisation of the IS 2062 E250 steel plates. However, the weakness of the Taguchi method in its inability to distinguish which parameters have greater effects on the boring process needs.........