| Project/Area Number |
07045032
|
|---|
| Research Category |
Grant-in-Aid for international Scientific Research
|
| Allocation Type | Single-year Grants |
|---|
| Section | University-to-University Cooperative Research |
|---|
| Research Field |
社会システム工学
|
|---|
| Research Institution | Ashikaga Institute of Technology |
|---|
Principal Investigator |
GEN Mitsuo Ashikaga Institute of Tech., Dept.of Industrial & Systems Engg., Professor, 工学部, 教授 (20095003)
|
|---|
| Co-Investigator(Kenkyū-buntansha) |
SASAKI Masato Ashikaga Institute of Tech., Dept.of Industrial & Systems Engg., Assistant Profe, 工学部, 講師 (00205866)
TSUJIMURA Yasuhiro Ashikaga Institute of Tech., Dept.of Industrial & Systems Engg., Associate Profe, 工学部, 助教授 (80240977)
YOKOTA Takao Ashikaga Institute of Tech., Dept.of Industrial & Systems Engg., Associate Profe, 工学部, 助教授 (70048916)
IDA Kenichi Ashikaga Institute of Tech., Dept.of Industrial & Systems Engg., Professor, 工学部, 教授 (60137700)
池 宏 中国科学院, 科学技術政策・管理科学技術研究所, 助教授
CAI Chen Chinese Academy of Science, Institute of Policy and Management, Professor, 科学技術政策・管理科学技術研究所, 教授
李 之傑 中国科学院, 科学技術政策・管理科学技術研究所, 教授
徐 偉宣 中国科学院, 科学技術政策・管理科学技術研究所・所長, 教授
CHI Hong Chinese Academy of Science, Institute of Policy and Management, Associate Profes
XU Weixuan Chinese Academy of Science, Institute of Policy and Management, Head, Professor
LI Zhijie Chinese Academy of Science, Institute of Policy and Management, Professor
|
|---|
| Project Period (FY) |
1995 – 1997
|
| Project Status |
Completed (Fiscal Year 1997)
|
| Budget Amount *help |
¥5,000,000 (Direct Cost: ¥5,000,000)
Fiscal Year 1997: ¥1,800,000 (Direct Cost: ¥1,800,000)
Fiscal Year 1996: ¥1,500,000 (Direct Cost: ¥1,500,000)
Fiscal Year 1995: ¥1,700,000 (Direct Cost: ¥1,700,000)
|
|---|
| Keywords | Genetic Algorithms / Fuzzy Sets Theory / Neural Networks / Nonlinear Optimization / Mathematical Programming / Optimal Design / Reliability Design / Meta-heuristics / ファジィ理論 / 生産システム最適化 |
|---|
| Research Abstract |
In these three years, we developed new solution methods for nonlinear optimization problems with fuzzy coefficients. These new methods have been verified the efficiencies by testing on many numerical experiments, and improved according to the verifications. Further, the methods have been applied to various optimal design problems of manufacturing systems. Finally, high efficiency and applicability of each the proposed method were validated on various optimization problems in the field of industrial engineering.
These results heve been presented at several international conferences, workshops and symposiums, and disclosed in international and domestic journals.
|
