A Comprehensive Study of MATLAB Optimization Toolbox Solvers for Nonlinear Constraints and Objective Functions

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How to Cite
Thander, A. K., & Bhowmik, D. (2025). A Comprehensive Study of MATLAB Optimization Toolbox Solvers for Nonlinear Constraints and Objective Functions. BOHR International Journal of Smart Computing and Information Technology, 6(1), 12–17. https://doi.org/10.54646/bijscit.2025.47
Published: Feb 12, 2025
DOI: https://doi.org/10.54646/bijscit.2025.47
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Keywords:
MATLAB solvers
nonlinear constraints
CPUTIME
objective functions
optimal solutions

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Authors

Anup Kumar Thander
Department of Applied Science and Humanities, Guru Nanak Institute of Technology, Kolkata, India
Dwaipayan Bhowmik
Department of Computer Science and Engineering, Dr. Sudhir Chandra Sur Institute of Technology and Sports Complex, Kolkata, India

Abstract

In this paper, four different solvers available in the optimization toolbox of MATLAB for nonlinear constraints and objective functions have been discussed. Among these solvers, numerical comparisons have been made using CPUTIME as the parameter. The MATLAB solvers described in this study have been applied to obtain the global optimum values of Rosenbrock’s banana functions in multi-dimensions. Additionally, graphical analysis is provided for a visual illustration of the convergence of the optimal solution of Rosenbrock’s function.

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Article Details

Issue
Vol. 6 No. 1 (2025): BOHR International Journal of Smart Computing and Information Technology (BIJSCIT)
Section
Original Research
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