Yajnavalkya Bandyopadhyay

This work investigates the use of multiobjective optimization (MOO) in the distribution of water resources, a crucial problem made worse by rising demand brought on by population expansion, industrialization, and climate change. Conventional unidimensional methods frequently fall short in considering the intricacies of conflicting water requirements in several domains, including domestic consumption, industry, agriculture, and environmental conservation. By striking a balance between these competing goals, MOO provides a more complete solution to guarantee fair, effective, and sustainable water distribution.

A case study of the Chotanagpur Plateau area shows how MOO might be used practically to solve problems with water allocation. The study demonstrates how MOO might lessen resource conflicts and advance sustainability in water-scarce settings by optimizing water allocation across home consumption, industry, agricultural, and ecological needs.

Finally, MOO offers a strong framework for the sustainable management of water resources in an increasingly uncertain future, balancing the interests of the social, economic, and environmental spheres.