Development of optimization methods using nonlinear dynamics for applications to real problems
Project/Area Number |
25330282
|
Research Category |
Grant-in-Aid for Scientific Research (C)
|
Allocation Type | Multi-year Fund |
Section | 一般 |
Research Field |
Soft computing
|
Research Institution | Chiba University |
Principal Investigator |
OKAMOTO TAKASHI 千葉大学, 工学(系)研究科(研究院), 准教授 (40451752)
|
Project Period (FY) |
2013-04-01 – 2016-03-31
|
Project Status |
Completed (Fiscal Year 2015)
|
Budget Amount *help |
¥4,290,000 (Direct Cost: ¥3,300,000、Indirect Cost: ¥990,000)
Fiscal Year 2015: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2014: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2013: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
|
Keywords | 大域的最適化 / カオス / システム工学 / ソフトコンピューティング / 数理工学 / 多目的最適化 / 複雑系 / Selfish routing game |
Outline of Final Research Achievements |
This project studied to develop optimization methods using nonlinear dynamics for applications to real problems. As a result, this project proposed (1) a chaotic optimization method without parameter tuning, (2) a constrained optimization method using chaotic search trajectory generated from the Lagrange-quasi-Newton dynamics, (3) Pareto optimal solution visualization methods using the self-organizing maps and its derivative methods, and (4) a support vector machine learning method and a fast solution method for the selfish routing game and its expansion problems using the variable metric gradient projection method.
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Report
(4 results)
Research Products
(38 results)