Advanced Optimization Techniques for Solution of Integer Quadratic Programming Problems via State Variables Reduction
Keywords:
Nonlinear programming problems, Quadratic programming, Simplex methods, Separable programming algorithms.Abstract
This paper addresses critical challenges in nonlinear programming and integer quadratic programming problems (IQPPs) by presenting innovative solution methodologies. It introduces advanced decision-variable reduction techniques that optimize solutions by minimizing the number of state variables
References
Z.S. Hua, P. Banerjee, Aggregate line capacity design for PWB assembly systems, Int. J. Prod. Res. 38 (11) (2000) 2417–2441. 2. Taha, H.M. Operations Research an Introduction. 8th Edition, (2008), Prentice-Hall of India Private Limited, New- Delhi.
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Published
2025-02-11
How to Cite
Mintu Kumar Sah, Neha Varma b. (2025). Advanced Optimization Techniques for Solution of Integer Quadratic Programming Problems via State Variables Reduction. Journal of Computational Analysis and Applications (JoCAAA), 34(2), 12–24. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/1910
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