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An improved multi-objective particle swarm optimization
| Content Provider | Semantic Scholar |
|---|---|
| Author | Bai, Hong-Bin |
| Copyright Year | 2016 |
| Abstract | In this paper, a multi-objective particle swarm optimization based on extremal optimization with hybrid mutation and time-varied inertia (HM-TVWF-MOEPSO) method has been proposed in order to solve some of problems in the multi-objective particle swarm optimization and improve the performance of the algorithm. |
| Starting Page | 105 |
| Ending Page | 120 |
| Page Count | 16 |
| File Format | PDF HTM / HTML |
| DOI | 10.12988/ijco.2016.6410 |
| Volume Number | 3 |
| Alternate Webpage(s) | http://www.m-hikari.com/ijco/ijco2016/ijco1-2016/p/baiIJCO1-2016.pdf |
| Alternate Webpage(s) | https://doi.org/10.12988/ijco.2016.6410 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |