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.