MULTI-OBJECTIVE OPTIMUM ECONOMIC-EMISSION DISPATCH CONSIDERING THE ENVIRONMENTAL ASPECTS
Keywords:
Bacterial foraging optimization, economic-emission dispatch, Multiobjective optimizationAbstract
In this paper, the economic-emission dispatch problem (EED) considering power losses is solved using a modified bacterial foraging algorithm (MBF). To solve this bi-objective economic-emission dispatch problem, the weighted-sum method is utilized. The well-known bacterial foraging algorithm (BFA) is one of the evolutionary optimization methods enthused by the foraging behavior of the E. coli bacteria. The primary BFA has been successfully employed to deal with small scale optimization problems. Quite the opposite, poor convergence characteristics have been observed when applied to large-scaled optimization problems with more complicated constrains. Due to the nonlinearity, high-dimensionality and complexity of the search region of the EED optimization problem, essential adaptations are suggested to improve the performance of the original BFA. A well-known test system is employed to validate the proposed MBF
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