Applying Bayesian Optimization Algorithm with Tabu Search to Electric Equipments Design Problems in a Power Plant
This paper addresses electric equipments configuration problems in a electric power plants. These equipments include ventilators, conveyance devices, electromotive valves, and so on. The problems are intrinsically large-scale combinatorial optimization problems with various constraints. The objective of the problems are to minimize both total cable lengths and their operating costs. These objectives may be contradictious. Furthermore, we would like to have multiple candidate solutions. Thus, to solve them, we must develop novel evolutionary algorithms. In this paper, we apply Bayesian Optimization Algorithm with Tabu search (Tabu-BOA) to the problems. From intensive experiments, the proposed method has shown the effectiveness to practical problems.