MUMBAI, India, Aug. 12 -- Intellectual Property India has published a patent application (202641092282 A) filed by Dr. N. G. P. Arts And Science College on July 30, 2026, for Method And System For Real-Time Mathematical Optimization And Decision Support Using Hybrid Computational Algorithms.
Inventors include Dr. S. Gokilamani; Dr. S. Kannaki; Mrs. T. J. Krithika; Dr. R. Sindhu; Mrs. M. Vinitha; Dr. S. Mathankumar; Mr. M. Santhosh Kumar; Mr. A. Sethupathi; Mrs. R. Anandhi; and Mr. S. Rameshkumar.
The application for the patent was published on August 07, 2026, under issue no. 32/2026.
Abstract: A system (100) for real-time mathematical optimization and decision support using hybrid computational algorithms, the system comprising a real-time data acquisition unit (102), a mathematical model generation unit (104), a hybrid computational optimization engine (106), a constraint evaluation module (108), a decision support processor (110), a predictive analytics module (112), a solution validation unit (114). The real-time data acquisition unit (102) continuously receives operational data from multiple heterogeneous sources and preprocesses the acquired information for optimization analysis. The mathematical model generation unit (104) formulates objective functions, optimization variables, and mathematical constraints using the received operational data. The hybrid computational optimization engine (106) executes multiple computational algorithms collaboratively to determine optimal mathematical solutions while dynamically adapting algorithm selection based on problem complexity. The constraint evaluation module (108) verifies constraint satisfaction and feasibility conditions. The decision support processor (110) generates optimized decision recommendations. The predictive analytics module (112) predicts future optimization behavior. The solution validation unit (114) validates optimization accuracy. The invention enhances computational efficiency, facilitates accurate real-time mathematical optimization, promotes intelligent decision support, and improves adaptive optimization reliability across diverse computational environments.
Disclaimer: Curated by HT Syndication.