| Presentation | 2002/9/13 Comparison between Exact Solution and Solution by GA in the Learning Group Composition Akinori IWASAKI, Isao MIYAJI, Takayuki OUE, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | The goal in the elementary school is to make the school class have good friendship and unity. It is necessary to appropriately form the learning group as a base of the group learning and a chance which makes daily friend relation in order to achieve such purpose. The combination such that the selection number is more and the selection intensity is stronger on each group is desired. The learning group is formed using the friendship matrix so that sum of the selection intensity and sum of the selection number may increase. The genetic algorithm (GA) was developed in order to form the learning group for the school class consisting of 40 persons. In this paper, upper bound values of the objective function were obtained for the classes consisting of 20 persons using enumeration method and GA in order to know the merit of the solution by GA. The comparison with the solutions by two methods shows that the GA searches solutoin near optimal solution. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Friendship matrix / Learning group / Exact Solution / Enumeration method / Genetic algorithm / Upper bound value |
| Paper # | ET2002-40 |
| Date of Issue |
| Conference Information | |
| Committee | ET |
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| Conference Date | 2002/9/13(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
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| Paper Information | |
| Registration To | Educational Technology (ET) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Comparison between Exact Solution and Solution by GA in the Learning Group Composition |
| Sub Title (in English) | |
| Keyword(1) | Friendship matrix |
| Keyword(2) | Learning group |
| Keyword(3) | Exact Solution |
| Keyword(4) | Enumeration method |
| Keyword(5) | Genetic algorithm |
| Keyword(6) | Upper bound value |
| 1st Author's Name | Akinori IWASAKI |
| 1st Author's Affiliation | Information Processing Center, Okayama University of Science() |
| 2nd Author's Name | Isao MIYAJI |
| 2nd Author's Affiliation | Information Processing Center, Okayama University of Science |
| 3rd Author's Name | Takayuki OUE |
| 3rd Author's Affiliation | Faculty of Informatics, Okayama University of Science |
| Date | 2002/9/13 |
| Paper # | ET2002-40 |
| Volume (vol) | vol.102 |
| Number (no) | 330 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |