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Abstract-The environmentalleconomic dispatch problem is a multiobjective nonlinear optimization problem with constraints. Until recently, this problem has been addressed by considering economic and emission objectives separately or as a weighted sum of both objectives.Multiobjective evolutionary algorithms can find multiple Pareto-optimal solutions in one single run and this ability makes them attractive for solving problems with multiple and conflicting objectives. This paper uses an elitist multiobjective evolutionary algorithm based on the Non-dominated Sorting Genetic Algorithm -11 (NSGA-11) for solving the environmentalleconomic dispatch problem. Elitism ensures that the population hest solution does not deteriorate in the next generations. Simulation results a r e presented for a sample power system.

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