| Presentation | 1999/5/28 Generating Scheduling Heuristics by GP Kazuo Miyashita, |
|---|---|
| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In order to solve real-time scheduling problems, search-based optimization methods are not practical, but powerful dispatching rules are highly effective. However, developing dispatching rule well customized for specific problems is an arduous task for even for domain experts or researchers. In this research, the author models scheduling problems as multi-agents problem solving and proposes a method for automated generation of each agent's scheduling heuristics by means of GP. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Scheduling / multi-agent / cooperative problem solving / genetic programming, bottleneck |
| Paper # | AI99-12 |
| Date of Issue |
| Conference Information | |
| Committee | AI |
|---|---|
| Conference Date | 1999/5/28(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | |
| Vice Chair | |
| Secretary | |
| Assistant | |
| Paper Information | |
| Registration To | Artificial Intelligence and Knowledge-Based Processing (AI) |
|---|---|
| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Generating Scheduling Heuristics by GP |
| Sub Title (in English) | |
| Keyword(1) | Scheduling |
| Keyword(2) | multi-agent |
| Keyword(3) | cooperative problem solving |
| Keyword(4) | genetic programming, bottleneck |
| 1st Author's Name | Kazuo Miyashita |
| 1st Author's Affiliation | ETL (Electrotechnical Laboratory)() |
| Date | 1999/5/28 |
| Paper # | AI99-12 |
| Volume (vol) | vol.99 |
| Number (no) | 96 |
| Page | pp.pp.- |
| #Pages | 7 |
| Date of Issue | |