a solution to an economic dispatch problem by a fuzzy adaptive genetic algorithm

in practice, obtaining the global optimum for the economic dispatch {bf (ed)}problem with ramp rate limits and prohibited operating zones is presents difficulties. this paper presents a new andefficient method for solving the economic dispatch problem with non-smooth cost functions using afuzzy adaptive genetic algorithm (faga). the proposed algorithm  deals  with the issue ofcontrolling the exploration and exploitation capabilities of a heuristic search algorithm in whichthe real version of genetic algorithm (rga) is equipped with a fuzzy logic controller (flc)which can efficiently explore and exploit optimum solutions. to validate the results obtainedby the proposed faga, it is compared with a real genetic algorithm (rga). moreover, the resultsobtained by faga and rga are also compared with those obtained by other  approaches reported in the literature.it was observed that the faga outperforms the other methods in solving the power system economicload dispatch problem in terms of quality, as well as convergence and success rates.