Optimal operation of power plants is an important issue in electrical power engineering. On the other hand, emissions of greenhouse gases and environmental concerns have been noticed recently more than in the past. In this paper, the cost of operation and also power plants emissions are considered as a multiobjective optimization problem solved using HBMO which is a powerful optimization algorithm. In numerical studies, a power system containing 10 generation units is optimized for a 24-hour period. The results show that the operation and emission costs are decreased dominantly using the HBMO algorithm.
