Determine the optimal reservoir capacity with the reliability needs of control using genetic algorithms combined linear programming

Issue in this document to determine optimal reservoir capacity by controlling supply reliability Water needs by sing a mathematical programming model has been investigated. Control the reliability, requires the use of variables Dvmqdarh And developing a model with mixed integer linear programming) MILP (is therefore Linear programming model combines genetic algorithms) GA-LP (MILP models for solving development Results in which variables Dvmqdarh with GA production evolves and linear model Remaining in each assessment objective function in GA will be solved. This model, along with methods Branch level and method of genetic algorithms in optimizing reservoir capacity lights Voice, including 420 to 840 the number of zero and a variable, serve as case study used Gone are compared. But the results reflect the relative capabilities and desired Proposed algorithms, computational speed and quality of solutions compared Branch and level method and genetic algorithms in solving the models under consideration. Despite the production of random variables of zero and one in GA Bzrgmqyas issues, Computational effort required to steer the algorithm proposed Qablmlahzh The appropriate answers.