Satoshi Kitayama

TL;DR: This paper presents a Sequential Approximate Optimization (SAO) procedure that uses the Radial Basis Function (RBF) network and proposes a sampling strategy that can be found with a small number of function evaluations.

TL;DR: In this article, the cooling performance of conformal cooling channel in plastic injection molding (PIM) is numerically and experimentally examined, and it is found from the numerical result that the cooling quality of the conformal channel is much improved compared to the conventional cooling channel.

TL;DR: Through typical mathematical and structural optimization problems, the validity of the proposed approach for the MDNLP is examined and a useful method to determine the penalty parameter of penalty term for the discrete design variables is proposed.

TL;DR: A new sampling strategy using sequential approximate multi-objective optimization (SAMOO) in radial basis function (RBF) network is proposed and the detailed procedure to construct the pareto-fitness function with the RBF network is described.

TL;DR: The radial basis function (RBF) network is adopted for the SAO, and the pareto-frontier is identified with a small number of simulation runs, and Numerical result shows that the pneumatic surface approach is valid.