Multiobjective Intuitionistic Fuzzy Optimization Approach in Optimal Irrigation Planning and Operation of Reservoir

Optimal Reservoir Operation Using Fuzzy Approach

Optimal reservoir operation model is developed using Multi Objective Fuzzy Linear Programming (MOFLP) which is computationally simple and easy to implement to the real world situation of reservoir operation. Application of MOFLP is demonstrated through the case study, Hirakud reservoir in Orissa State, India. Problem is formulated with two objective functions viz. maximization of releases for i...

A multiobjective optimization approach to the operation

Hbmo in Optimal Reservoir Operation

The broad of applicability, ease of use, and global perspective of so-called meta-heuristic algorithms may be considered as the primary reason for their extensive application and success as search and optimization tools in various problem domains. Honey bees are among the most well-studied social insects. Their mating process may also be considered as a typical swarm-based approach to optimizat...

development of reservoir operation policies using integrated optimization-simulation approach

this study is focused on developing an integrated optimization-simulation based genetic algorithm model (iosga) to develop the operational policies for a multi-purpose reservoir system. the objective function of the optimization model is considered to be a linear function of reliability (rel), resiliency (res), and vulnerability (vul) of the river-reservoir system. genetic algorithm (ga) is emp...

DETERMINATION OF OPTIMAL HEDGING RULE USING FUZZY SET THEORY FOR MULTI-RESERVOIR OPERATION

To deal with severe drought when water supply is insufficient hedging rule, based on hedging rule curve, is proposed. In general, in discrete hedging rules, the rationing factors have changed from a zone to another zone at once. Accordingly, this paper is an attempt to improve the conventional hedging rule to control the changes of rationing factors. In this regard, the simulation model has emp...