论文信息 - Recommendation of Sampling Data In Sequential Approximation Optimization Using Convolute RBF - 字舞流文

Recommendation of Sampling Data In Sequential Approximation Optimization Using Convolute RBF

Masao Arakawa | Satoshi Kitayama | S. Kitayama | M. Arakawa

[1] Masao Arakawa,et al. Uniform magnetic field in the bending magnet for the compact proton synchrotron , 2004 .

[2] Hirotaka Nakayama,et al. Approximate Optimization Using Radial Basis Function Networks and Genetic Range Genetic Algorithms , 2004 .

[3] Kensuke Kawai,et al. INTELLIGENT START-UP SCHEDULE OPTIMIZATION SYSTEM FOR A THERMAL POWER PLANT , 2006 .

[4] 雅生荒川,et al. ラディアルベーシス関数ネットワークと領域適応型遺伝的アルゴリズムを用いた最適設計 (第1報, 制約条件のない場合における検討) , 2001 .

[5] Panos Y. Papalambros,et al. Metamodeling sampling criteria in a global optimization framework , 2000 .

[6] Hirotaka Nakayama,et al. Approximate Optimization Using RBF Network and Genetic Range Genetic Algorithms (Proposal of Base Function and Basic Consideration) , 2004 .

[7] Masao Arakawa,et al. Development of genetic range genetic algorithms (3rd report, proposal of fitness function to search multiple local optima) , 2004 .