Abstract
This article presents evolutionary programming based on interactive fuzzy satisfying method for multiobjective generation scheduling of fixed head hydro plants and thermal plants with nonsmooth fuel cost and emission level functions. The multiobjective problem is formulated considering two objectives; (1) economy, and (2) emission. These two objectives are mutually conflicting and equally important. Assuming that the decision maker (DM) has imprecise or fuzzy goals for each of the objective functions, the multiobjective problem is transformed into a minimax problem, which is then handled by the evolutionary programming technique. The solution methodology can offer a global or near-global noninferior solution for the DM. Numerical results for a sample test system have been presented to demonstrate the performance and applicability of the proposed method. The results obtained from the proposed method are compared to those found by interactive fuzzy satisfying method based on simulated annealing technique.
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