| Project/Area Number |
20500145
|
|---|
| Research Category |
Grant-in-Aid for Scientific Research (C)
|
| Allocation Type | Single-year Grants |
|---|
| Section | 一般 |
|---|
| Research Field |
Intelligent informatics
|
|---|
| Research Institution | Doshisha University |
|---|
Principal Investigator |
HIROYASU Tomoyuki Doshisha University, 生命医科学部, 教授 (20298144)
|
|---|
| Co-Investigator(Kenkyū-buntansha) |
MIKI Mitsunori 同志社大学, 理工学部, 教授 (90150755)
|
|---|
| Project Period (FY) |
2008 – 2010
|
| Project Status |
Completed (Fiscal Year 2010)
|
| Budget Amount *help |
¥4,420,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥1,020,000)
Fiscal Year 2010: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
Fiscal Year 2009: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2008: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
|
|---|
| Keywords | 対話型遺伝的アルゴリズム / 進化計算 / 多目的最適化 |
|---|
| Research Abstract |
Interactive Genetic Algorithm (iGA) is one of evaluation computations in which the design candidates are evaluated by human. Because of this mechanism, iGA can treat Kansei information and subjective feelings of humans. In the conventional iGAs, there is only one objective function. However, in several real world problems, there are a lot of problems which have many objects. In this study, multi-objective model for iGA was proposed and discussed. In the discussions, we classified the problems and challenges first. Then, we conquered these defects and constructed the multi-objective iGA system. From the results of this study, we can construct the system in which user can choose much more preferable solutions.
|
