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This paper presents a multi-objective evolutionary algorithm to solve the day-ahead thermal generation scheduling problem. The objective functions considered to model the scheduling problem are: 1) minimizing the system operation cost and 2) minimizing the emission cost. In the proposed algorithm, the chromosome is formulated as a binary unit commitment matrix (UCM) which stores the generator on/off states and a real power matrix (RPM) which stores the corresponding power dispatch. Problemdoi:10.1109/cec.2011.5949883 dblp:conf/cec/TrivediPSS11 fatcat:o2dxys3kj5hfjb6fucnjdigd4e