Tabu-BOA を適用した多様解・多目的解獲得を目的とする発電所電気設備設計問題の解法 Application of Tabu-BOA to Acquire Multi-Modal and Multi-Objective Solutions for Electric Equipment Configuration Problems in a Power Plant
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.
- 電気学会論文誌. B, 電力・エネルギー部門誌 = The transactions of the Institute of Electrical Engineers of Japan. B, A publication of Power and Energy Society
電気学会論文誌. B, 電力・エネルギー部門誌 = The transactions of the Institute of Electrical Engineers of Japan. B, A publication of Power and Energy Society 124(6), 879-889, 2004-06-01