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A Multi objective, Multireservoir operation model for maximization of irrigation releases and maximization of hydropower production is proposed using Genetic Algorithm. These objectives are fuzzified and are simultaneously maximized by defining and then maximizing level of satisfaction (λ). In the present study a multireservoir system in Godavari River sub basin in Maharashtra State, India is considered. Problem is formulated with four reservoirs and a barrage. A monthly Multi Objective Genetic Algorithm Fuzzy Optimization (MOGAFUOPT) model for the present study is developed in 'C' Language. The optimal operation policy for maximization of irrigation releases, maximization of hydropower production and maximization of level of satisfaction is presented for existing demand in command area. The entire range of optimal operation policies, for different levels of satisfaction i.e. λ (ranging from 0 to 1), are determined. From the relationships developed amongst irrigation releases, hydropower production and level of satisfaction, a three dimensional (3-D) surface covering the whole range of policies has been developed. This solution surface can be the basis for decision makers for implementing the policies. Considering the future requirements in the command area, both the irrigation and hydropower demands are increased by 10 and 20%. The optimal operation policy for maximization of irrigation releases, maximization of hydropower production and maximization of level of satisfaction is also presented for these cases. The 3-D solution surface is also developed in these cases.

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Ranking of river basin planning and development alternatives under a multi-criterion environment, including both qualitative and quantitative aspects, is examined. The purpose is to find the most suitable planning for reservoirs with their associated purposes aimed at the development of the major peninsular river (Krishna) basin in India. A total of seven reservoirs and a diversion network are considered for the formulation of 24 alternative systems with 18 criteria, of which nine are qualitative and the remainder are quantitative in nature. A set of best alternatives with their ordering is obtained using ELECTRE (Elimination Et (and) Choice Translating REality). Classement par la méthode ELECTRE de plans d'aménagement de bassins fluviauxRésumé Cet article présente le classement des solutions envisagées pour la planification et l'aménagement de bassins fluviaux. Ce classement a été effectué dans un environnement multicritères, tant qualitatifs que quantitatifs. L'objectif de cette étude était de déterminer le plan d'aménagement et de gestion d'un système de réservoirs le plus satisfaisant dans le but de développer le bassin fluvial péninsulaire majeur de l'Inde -celui du fleuve Krishna. Un ensemble de sept réservoirs et un réseau de dérivations ont été pris en compte pour définir 24 solutions d'aménagement appré-ciées selon 18 critères, neuf étant qualitatifs alors que les autres étaient de nature quantitative. Le classement des meilleures alternatives a été établi grâce à ma méthode ELECTRE (ELimination Et Choix Traduisant la REalité).