Simulation-based multiobjective optimization of bridge construction processes using parallel computing
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: 2014DOI: 10.1109/CCECE.2014.6900988
Keyword(s): learning (artificial intelligence),n quality of service,n routing protocols,n telecommunication power management,n telecommunication traffic,n wireless sensor networks,n EQR-RL,n QoS-AODV,n RL-QRP,n WSN routing protocols,n average end-to-end delay,n data packet,n energy-aware QoS routing protocol,n packet delivery ratio,n reinforcement learning,n traffic load,n wireless sensor networks,n Delays,n Learning (artificial intelligence),n Qualit
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Simulation-based multiobjective optimization of bridge construction processes using parallel computing
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| contributor author | Salimi, S. | |
| contributor author | Mawlana, M. | |
| contributor author | Hammad, A. | |
| date accessioned | 2020-03-12T22:41:40Z | |
| date available | 2020-03-12T22:41:40Z | |
| date issued | 2014 | |
| identifier other | 7020162.pdf | |
| identifier uri | http://libsearch.um.ac.ir:80/fum/handle/fum/1091449?locale-attribute=en | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | Simulation-based multiobjective optimization of bridge construction processes using parallel computing | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8230267 | |
| subject keywords | learning (artificial intelligence) | |
| subject keywords | n quality of service | |
| subject keywords | n routing protocols | |
| subject keywords | n telecommunication power management | |
| subject keywords | n telecommunication traffic | |
| subject keywords | n wireless sensor networks | |
| subject keywords | n EQR-RL | |
| subject keywords | n QoS-AODV | |
| subject keywords | n RL-QRP | |
| subject keywords | n WSN routing protocols | |
| subject keywords | n average end-to-end delay | |
| subject keywords | n data packet | |
| subject keywords | n energy-aware QoS routing protocol | |
| subject keywords | n packet delivery ratio | |
| subject keywords | n reinforcement learning | |
| subject keywords | n traffic load | |
| subject keywords | n wireless sensor networks | |
| subject keywords | n Delays | |
| subject keywords | n Learning (artificial intelligence) | |
| subject keywords | n Qualit | |
| identifier doi | 10.1109/CCECE.2014.6900988 | |
| journal title | imulation Conference (WSC), 2014 Winter | |
| filesize | 258039 | |
| citations | 0 |