| Presentation | 1995/5/25 A Genetic Algorithm with Multi-Step Crossover for Job-Shop Scheduling Problems Takeshi Yamada, Ryohei Nakano, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Genetic Algorithms (GAs) have been designed as general purpose optimization methods. GAs can be uniquely characterized by their population-based search strategies and their operators : mutation, selection and crossover. In this paper, we propose a new crossover called multi-step crossover (MSX) which utilizes a neighborhood structure and a distance in the problem space. Given parents, MSX successively generates their descendents along the path connecting the both of them. MSX was applied to the job-shop scheduling problem (JSSP) as a very high-level crossover to work on the critical path. Preliminary experiments using JSSP benchmarks showed the promising performance of a GA with the proposed MSX. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Genetic Algorithms / multi-step crossover / job-shop scheduling / neighborhood search |
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| Conference Information | |
| Committee | AI |
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| Conference Date | 1995/5/25(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| 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) | A Genetic Algorithm with Multi-Step Crossover for Job-Shop Scheduling Problems |
| Sub Title (in English) | |
| Keyword(1) | Genetic Algorithms |
| Keyword(2) | multi-step crossover |
| Keyword(3) | job-shop scheduling |
| Keyword(4) | neighborhood search |
| 1st Author's Name | Takeshi Yamada |
| 1st Author's Affiliation | NTT Communication Science Laboratories() |
| 2nd Author's Name | Ryohei Nakano |
| 2nd Author's Affiliation | NTT Communication Science Laboratories |
| Date | 1995/5/25 |
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| Volume (vol) | vol.95 |
| Number (no) | 75 |
| Page | pp.pp.- |
| #Pages | 8 |
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