This paper applies Bayesian Optimization Algorithm with Tabu Search (Tabu-BOA) to electric equipments configuration problems in a power plant. Tabu-BOA is a hybrid evolutionary computation algorithm with competent GAs and meta-heuristics. The configuration problems we consider have complex combinatorial properties, therefore, they are hard to formulate and solve via conventional mathematical programming techniques. Using the proposed method, we have solved the following problems. The complexity of the problems are increasing in order: (1) Cost Minimization of electric equipment configuration and the corresponding cabling; (2) Plus the decision of the power plant operation patterns; (3) Plus parallel operation of plural transformers, (4) Plus the change of the supply voltages (high voltage or low voltage) to the electric power load, and (5) Add the other objective, that is, both minimization of the cost and maximization of the surplus power supply. identifier:oai:t2r2.star.titech.ac.jp:50244938