fuzzy optimization for reservoir operation using Matlab

Multiobjective reservoir planning is gaining importance to satisfy the conflicting objectives in a developing country scenario (Loucks et al. 1981). Uncertainty in inflows, along with evaporation from a reservoir, water quality and water pricing are the important components that significantly affect the planning scenario. Shortage of water resources, if any, can be augmented from other sources such as groundwater and waste water utilization after suitable treatment (FAO 2012). In this regard, input–output mapping can be obtained where available inflows, existing cropping pattern and various water demands can result in compromised cropping pattern, reservoir operation policies and the values of net benefits, crop production, labour employment. This may form part of the water conservation strategies that can be adopted at the various levels. On the other perspective, fuzzy logic is gaining strength in multiobjective optimization scenario due to its simple and flexible approach that reorganizes multiobjective planning problem into a single objective [login to view URL] tools and techniques of fuzzy optimization and fuzzy inference systems that incorporate imprecision in management goals and constraints.