MIXED OPTIMIZATION TECHNIQUE FOR LARGE-SCALE WATER-RESOURCE SYSTEMS

Dealing with significantly large design problems for water-resource sy stems a mixed optimization procedure based on network linear programmi ng and the subgradient method will be described. Using a linear proble m formulation, the procedure uses network linear programming as a subp roblem that assumes the knowledge of design variables. Since inside it s domain, the global objective functions is a convex piecewise linear function, a subgradient method is used to obtain the direction of the improvement of design variables at each iteration using the solutions of the network subproblem. The mixed technique permits an efficient ev aluation of the design variables in order to reach a good approximatio n of the global objective function optimum. The solution technique per forms well in the purely linear case and, moreover, allows some kinds of nonlinearities in the cost functions of design variables.