MUMBAI, India, Oct. 26 -- Intellectual Property India has published a patent application (202611114588 A) filed by Dr. Khursheed Alam; Dr. Shilpi Singh; Dr. Sohan Kumar Yadav; Dr. Sushma Devi; and Dr. Laxmi Rajput on September 24, 2026, for Sustainable Urban Resource Planning Using Mathematical Decision-Making And Optimization.
Inventors include Dr. Khursheed Alam; Dr. Shilpi Singh; Dr. Sohan Kumar Yadav; Dr. Sushma Devi; and Dr. Laxmi Rajput.
The application for the patent was published on October 23, 2026, under issue no. 43/2026.
Abstract: The present invention relates to a computer-implemented method and system for sustainable urban resource planning employing multi-objective weighted goal programming to optimally allocate municipal resources across water supply, energy distribution, solid waste management, transportation and green space sectors. The system receives urban zone demographic data, infrastructure capacities, budget envelopes, carbon emission baselines and policy priority weights, and formulates a mathematical programme with equity-weighted population coverage maximisation, carbon emission minimisation and budget deviation minimisation objectives subject to capacity, coverage, environmental and equity constraints. A revised simplex algorithm with epsilon-constraint Pareto enumeration generates multiple optimal solutions within nine seconds on standard hardware. Computational experiments on a twenty-five-zone Indian city demonstrate ninety-six percent budget utilisation, ninety-two percent population coverage, twelve thousand eight hundred sixty tonnes annual carbon reduction, and sustainability index of 0.87, outperforming manual planning, single-objective and heuristic approaches across all metrics.
Disclaimer: Curated by HT Syndication.
