| Presentation | 1999/5/27 Multi objective optimization by probabilistic local search using a generalized acceptance probability function Kazuyuki YOSHIMURA, Ryohei NAKANO, Takeshi YAMADA, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | A probabilistic local search is an efficient tool for finding approximate optimal solutions to a large scale optimization problem. In a probabilistic local search, a candidate solution is generated and then a decision whether to accept or reject it is made based on an acceptance probability. The acceptance probability function significantly affects the performance of the search algorithm. We propose a new acceptance probability function suitable for multi objective optimization problems, which we call a generalized acceptance probability function. An example of the generalized acceptance probability function is presented for two objective optimization. Furthermore, we apply it to a two objective worker scheduling problem and demonstrate that Pareto quasi-optimal solutions of good quality can be found by the probabilistic local search using the generalized acceptance probability function by numerical experiments. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | multi objective optimization / Pareto optimal solution / probabilistic local search / generalized acceptance probability function |
| Paper # | AI99-2 |
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| Conference Information | |
| Committee | AI |
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| Conference Date | 1999/5/27(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Artificial Intelligence and Knowledge-Based Processing (AI) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Multi objective optimization by probabilistic local search using a generalized acceptance probability function |
| Sub Title (in English) | |
| Keyword(1) | multi objective optimization |
| Keyword(2) | Pareto optimal solution |
| Keyword(3) | probabilistic local search |
| Keyword(4) | generalized acceptance probability function |
| 1st Author's Name | Kazuyuki YOSHIMURA |
| 1st Author's Affiliation | NTT Communication Science Laboratories() |
| 2nd Author's Name | Ryohei NAKANO |
| 2nd Author's Affiliation | NTT Communication Science Laboratories |
| 3rd Author's Name | Takeshi YAMADA |
| 3rd Author's Affiliation | NTT Communication Science Laboratories |
| Date | 1999/5/27 |
| Paper # | AI99-2 |
| Volume (vol) | vol.99 |
| Number (no) | 95 |
| Page | pp.pp.- |
| #Pages | 8 |
| Date of Issue | |