In this paper, Oppositional biogeography-based optimization (OBBO) technique based on opposition-based learning (OBL) concept has been presented for solving the economic dispatch (ED) problems. The OBBO technique has been applied on two test systems, one consisting of three generators and the other of six generators. The results obtained have been compared with the conventional Lagrange multiplier method, particle swarm optimization (PSO) and biogeography-based optimization (BBO) methods. The results show that the presented OBBO technique has good convergence characteristics and provides comparatively better solutions in terms of total fuel cost as compared to other methods. Also, the global search capability is enhanced and premature convergence is avoided.

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Biogeography-Based Optimization Economic Dispatch Oppositional Biogeography-Based Optimization Opposition- Based Learning