| Presentation | 2018-07-27 Evaluation for Obtaining the Pareto Solutions of a Bi-Objective Network with All-Terminal Reliability by Genetic Algorithm Tomoaki Akiba, Natsumi Takahashi, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | There are many network systems in the real world, for example, Internet, electricity network and traffic network. In this study, we consider Bi-objective network design problem, in which all-terminal reliability is maximizing all-terminal reliability and construction/operation/maintenance costs are minimized. In the general, it is a rare case that a network system considered in the problem has maximum all-terminal reliability and costs, that is, is optimum for both of all-terminal reliability and cost. Therefore, we consider more efficient algorithm for obtaining the Pareto solutions of above bi-objective network problem. In the existing studies, the algorithm for Pareto solutions of the all-terminal reliability and cost are proposed. However, these algorithms require much time to obtain Pareto solutions as the number of nodes or edges become large. So, we propose efficient algorithm for obtaining the Pareto solutions by genetic algorithm in this study. Numerical experiments shows the solutions by the proposed algorithm can be calculate bi-objective network as over 8 nodes. It is better than the existing algorithms. However, results of obtained rate of exact Pareto solutions shows that the proposed algorithm is not better than the existing algorithms. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Multi-objective network / All-terminal reliability / Pareto solutions / Genetic Algorithm / Quasi-optimization |
| Paper # | R2018-11 |
| Date of Issue | 2018-07-20 (R) |
| Conference Information | |
| Committee | R |
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| Conference Date | 2018/7/27(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Reliability theory, Reliability for communication network, Overall reliability engineering |
| Chair | Tetsushi Yuge(National Defense Academy) |
| Vice Chair | Akira Asato(Fujitsu) |
| Secretary | Akira Asato(Hosei Univ.) |
| Assistant | Shinji Inoue(Kansai Univ.) / Hiroyuki Okamura(Hiroshima Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Reliability |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Evaluation for Obtaining the Pareto Solutions of a Bi-Objective Network with All-Terminal Reliability by Genetic Algorithm |
| Sub Title (in English) | |
| Keyword(1) | Multi-objective network |
| Keyword(2) | All-terminal reliability |
| Keyword(3) | Pareto solutions |
| Keyword(4) | Genetic Algorithm |
| Keyword(5) | Quasi-optimization |
| 1st Author's Name | Tomoaki Akiba |
| 1st Author's Affiliation | Chiba Institute of Technology(CIT) |
| 2nd Author's Name | Natsumi Takahashi |
| 2nd Author's Affiliation | Aoyama Gakuin University(AGU) |
| Date | 2018-07-27 |
| Paper # | R2018-11 |
| Volume (vol) | vol.118 |
| Number (no) | R-161 |
| Page | pp.pp.1-6(R), |
| #Pages | 6 |
| Date of Issue | 2018-07-20 (R) |