The problem related to the water Resource Engineering are mostly
non-linear in nature. It is becoming a difficult task for large scale
nonlinear optimization problems to obtain the optimal solutions. Since
various conflicting demands such as irrigation, generation of power,
industrial and municipal water supply etc. should be satisfied with
water available in reservoir, the optimal operating policy for
multipurpose reservoir is a necessity. Further, the growth in
population, urbanization, deforestation and industrialization has
increased the demand of water day by day. In recent times, it is also
noted that the global warming became a threat that affects availability
of water resources both spatially and temporally in several parts of the
world. Conventional approaches are found to be insufficient to deal with
this problem. To contract with objective function information and elude
difficulties related to determine derivate or other auxiliary
information various statistical test such Analysis of Variance, t-Test,
F-test, Z-test, Curve Fitting, wavelet are used along with the
evolutionary algorithm for reservoir optimization