@inproceedings{oai:jaxa.repo.nii.ac.jp:00005771,
 author = {鈴木, 真二 and 土屋, 武司 and Suzuki, Shinji and Tsuchiya, Takeshi},
 book = {宇宙航空研究開発機構特別資料, JAXA Special Publication: Proceedings of International Workshops on Numerical Simulation Technology for Design of Next Generation Supersonic Civil Transport (SST-CFD Workshop)},
 month = {Mar},
 note = {SST-CFDワークショップ.次世代超音速機の数値シミュレーション利用技術に関する国際ワークショップ 航空宇宙技術研究所 20000117-20000119 東京 日本, SST-CFD Workshop. International Workshops on Numerical Simulation Technology for Design of Next Generation Supersonic Civil Transport National Aerospace Laboratory 20000117-20000119 Tokyo Japan, This paper presents a parallel optimization method to solve large-scale optimization problems and apply the method to the simultaneous vehicle design and flight trajectory optimization problems of a spaceplane. Generally, to obtain an accurate optimal solution, a large-scale problem has to be solved, and it takes much computing load and time. Therefore, the new method divides the problem into several sub-problems which can be solved in parallel. In the first half of the paper, we describe the way to decompose the problem and the fundamental algorithm to solve it. We introduce the conjunctive constraints among the sub-problems and define Lagrange multipliers for each conjunctive constrain. Each sub-problem can be solved in a parallel manner by updating both the Lagrange multipliers and design variables. In the latter half of the paper, the parallel optimization method is applied to obtain the optimal shape and optimal flight trajectory of a spaceplane., 資料番号: AA0063609040, レポート番号: JAXA-SP-06-029E},
 pages = {349--352},
 publisher = {宇宙航空研究開発機構, Japan Aerospace Exploration Agency (JAXA)},
 title = {Simultaneous shape and flight trajectory optimization of a spaceplane using parallel optimization method},
 volume = {JAXA-SP-06-029E},
 year = {2007}
}