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@article{195668,
        author = {Chanchal B. Deshmukh and C. S. Khodre},
        title = {An Optimized Mathematical Approach to Population Growth and Resource Planning},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {no},
        pages = {63-67},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=195668},
        abstract = {Population growth is one of the most critical challenges in sustainable development, particularly in regions facing limited resources such as food, water, and energy. Efficient resource planning is essential to prevent shortages, reduce wastage, and ensure equitable distribution. This paper presents an optimized mathematical approach that combines population growth modeling with resource allocation algorithms. Using a logistic growth model for population and a resource optimization framework, the study simulates future scenarios and predicts resource requirements over time. The results demonstrate that integrating population projections with optimized resource allocation can significantly enhance planning efficiency and reduce potential shortages. This approach provides policymakers, urban planners, and resource managers with a practical framework to address population-resource challenges effectively.},
        keywords = {Population growth, resource planning, mathematical modeling, optimization, simulation.},
        month = {March},
        }