Optimal Magnetic Shield Design with Second-Order Cone Programming
Takashi Sasakawa (sasakawartri.or.jp)
Abstract: In this paper, we consider a continuous version of the convex network flow problem which involves the integral of the Euclidean norm of the flow and its square in the objective function. A discretized version of this problem can be cast as a second-order cone program, for which efficient primal-dual interior-point algorithms have been developed recently. An optimal magnetic shielding design problem of the MAGLEV train, a new bullet train under development in Japan, is formulated as the continuous convex network flow problem, and is solved with the primal-dual interior-point algorithm. Taking advantage of its efficiency and stability, the algorithm is further applied to robust design of the magnetic shielding.
Keywords: Second-order cone programming, primal-dual interior-point algorithms, magnetic shielding design, robust optimization
Category 1: Applications -- Science and Engineering (Multidisciplinary Design Optimization )
Category 2: Linear, Cone and Semidefinite Programming (Second-Order Cone Programming )
Citation: Research Memorandum No. 775, The Institute of Statistical Mathematics, 4-6-7 Minami-Azabu, Minato-ku, Tokyo 106-8569 Japan, October, 2000 (Final revision: September 2002) (To appear in SIAM Journal on Scientific Computing).
Entry Submitted: 10/31/2002
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