Parallel Distributed Implementation of Neuroevolution of Augmenting Topologies in Continuous Control Tasks
This paper proposes a novel distributed implementation of neuroevolution of augmenting topologies method, which, considering the availability of sufficient computational resources, allows drastically speed up the process of optimal neural network configuration search. The proposed solution includes...
Saved in:
| Published in: | 2021 IEEE 3rd International Conference on Advanced Trends in Information Theory (ATIT) pp. 267 - 271 |
|---|---|
| Main Authors: | , |
| Format: | Conference Proceeding |
| Language: | English |
| Published: |
IEEE
15.12.2021
|
| Subjects: | |
| Online Access: | Get full text |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Abstract | This paper proposes a novel distributed implementation of neuroevolution of augmenting topologies method, which, considering the availability of sufficient computational resources, allows drastically speed up the process of optimal neural network configuration search. The proposed solution includes batch genome evaluation for the purpose of performance optimization, fair, and even computational resources usage. The benchmarking shows that the generated neural networks evaluation process can give orders of magnitude increase of efficiency on the demonstrated continuous control task and computational environment. |
|---|---|
| AbstractList | This paper proposes a novel distributed implementation of neuroevolution of augmenting topologies method, which, considering the availability of sufficient computational resources, allows drastically speed up the process of optimal neural network configuration search. The proposed solution includes batch genome evaluation for the purpose of performance optimization, fair, and even computational resources usage. The benchmarking shows that the generated neural networks evaluation process can give orders of magnitude increase of efficiency on the demonstrated continuous control task and computational environment. |
| Author | Achour, Illia Doroshenko, Anatoliy |
| Author_xml | – sequence: 1 givenname: Illia surname: Achour fullname: Achour, Illia email: ilyaachour@gmail.com organization: National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute",Information Systems and Technologies Department,Kyiv,Ukraine – sequence: 2 givenname: Anatoliy surname: Doroshenko fullname: Doroshenko, Anatoliy email: doroshenkoanatoliy2@gmail.com organization: National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute",Information Systems and Technologies Department,Kyiv,Ukraine |
| BookMark | eNo1j8tKxDAYhSPowhl9AkHyAq25N12WeisM6qKuh8z0b4mmTUkawbd3RsfVOXwcDnwrdD75CRC6pSSnlJR3Vdu0UhDJc0YYzUtVaC31GVpRpaTgWhTlJfp4M8E4Bw7f27gEu0sLdLgZZwcjTItZrJ-w7_ELpODhy7v0T6o0HBd2GnDrZ-_8YCFiO-HaH2nyKf7W4B1uTfyMV-iiNy7C9SnX6P3xoa2fs83rU1NXm8xSqpdMKyo6TgzlBHRhpIE9A-CFZoYStpfMKClBqZ6TYsco9GV30DUA0BEmBOdrdPP3aw9sOwc7mvC9PenzH1kwV5U |
| ContentType | Conference Proceeding |
| DBID | 6IE 6IL CBEJK RIE RIL |
| DOI | 10.1109/ATIT54053.2021.9678858 |
| DatabaseName | IEEE Electronic Library (IEL) Conference Proceedings IEEE Xplore POP ALL IEEE Xplore All Conference Proceedings IEEE Electronic Library (IEL) IEEE Proceedings Order Plans (POP All) 1998-Present |
| DatabaseTitleList | |
| Database_xml | – sequence: 1 dbid: RIE name: IEEE/IET Electronic Library (IEL) (UW System Shared) url: https://ieeexplore.ieee.org/ sourceTypes: Publisher |
| DeliveryMethod | fulltext_linktorsrc |
| EISBN | 1665438479 9781665438476 |
| EndPage | 271 |
| ExternalDocumentID | 9678858 |
| Genre | orig-research |
| GroupedDBID | 6IE 6IL CBEJK RIE RIL |
| ID | FETCH-LOGICAL-i118t-8614d30a130e87a5aec2ee3782a102c52a655e66f307b21ef9d110aeeed024433 |
| IEDL.DBID | RIE |
| IngestDate | Thu Jun 29 18:37:55 EDT 2023 |
| IsPeerReviewed | false |
| IsScholarly | false |
| Language | English |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-i118t-8614d30a130e87a5aec2ee3782a102c52a655e66f307b21ef9d110aeeed024433 |
| PageCount | 5 |
| ParticipantIDs | ieee_primary_9678858 |
| PublicationCentury | 2000 |
| PublicationDate | 2021-Dec.-15 |
| PublicationDateYYYYMMDD | 2021-12-15 |
| PublicationDate_xml | – month: 12 year: 2021 text: 2021-Dec.-15 day: 15 |
| PublicationDecade | 2020 |
| PublicationTitle | 2021 IEEE 3rd International Conference on Advanced Trends in Information Theory (ATIT) |
| PublicationTitleAbbrev | ATIT |
| PublicationYear | 2021 |
| Publisher | IEEE |
| Publisher_xml | – name: IEEE |
| Score | 1.7791502 |
| Snippet | This paper proposes a novel distributed implementation of neuroevolution of augmenting topologies method, which, considering the availability of sufficient... |
| SourceID | ieee |
| SourceType | Publisher |
| StartPage | 267 |
| SubjectTerms | artificial neural networks Benchmark testing cloud computing Computational efficiency genetic algorithms Genomics NEAT Network topology Neural networks neuroevolution of augmenting topologies parallel distributed computing Process control reinforcement learning Topology |
| Title | Parallel Distributed Implementation of Neuroevolution of Augmenting Topologies in Continuous Control Tasks |
| URI | https://ieeexplore.ieee.org/document/9678858 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV09T8MwELXaioEJUIv4lgdG0jbOh-2xAipYqg5B6lY5zrkKFAelTX8_ZzcqQmJhs6xIkc9J3j3n3j1C7kWOmJVGEEjOTBArFQaYVUMQMVBKMYMQqb3ZBJ_NxGIh5x3ycNDCAIAvPoOhG_p_-UWlG3dUNpL4ZRWJ6JIu53yv1WpFv-FYjibZa-byjwhZHwuH7cW_XFM8aExP_ne7UzL4Ud_R-QFXzkgHbJ-8z1XtbE_W9Mm1unUuVVBQ39v3s5UPWVoZ6pttwK59oNzMpFn5kiC7otneEQHJMS0tdY2pStsg9ffDulrTTG0-NgPyNn3OHl-C1ichKJEebAOBEFtEY4VwBIKrRIFmABFiv8L0QSdMpUkCaWrwfc5ZCEYWGDCF6y0QoeMoOic9W1m4IDQ3Js-RkUlhWFxoI7RkOoyViE3MwYwvSd_Fafm1b4WxbEN09ff0NTl2W-GqP8LkhvS2dQO35EjvtuWmvvP79w06GKEW |
| linkProvider | IEEE |
| linkToHtml | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV3PT8IwFG4QTfSkBoy_7cGjA9Z1W3ckKoGIhMNMuJGueyVT3Mxg_P2-lgVj4sVb0yxZ-rrte1_3vvcRci8SxKzAAycKmXa4lK6DWTU4HgMpJdMIkcqaTYSTiZjNommDPOy0MABgi8-gY4b2X35aqMoclXUj_LIKX-yRfZ9z5m7VWrXs1-1F3X48ik0G4iHvY26nvvyXb4qFjcHx_254Qto_-js63SHLKWlA3iLvU1ka45MlfTLNbo1PFaTUdvf9rAVEOS00te02YFM_UmamXy1sUVC-oPHWEwHpMc1yalpTZXmF5N8Oy2JJY7n6WLXJ2-A5fhw6tVOCkyFBWDsCQTb1ehIBCUQofQmKAXiI_hITCOUzGfg-BIHGNzphLugoxYBJXG-KGM0974w08yKHc0ITrZMEOVkkNOOp0kJFTLlcCq55CLp3QVomTvOvbTOMeR2iy7-n78jhMH4dz8ejycsVOTLbYmpBXP-aNNdlBTfkQG3W2aq8tXv5DcTKpF0 |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&rft.genre=proceeding&rft.title=2021+IEEE+3rd+International+Conference+on+Advanced+Trends+in+Information+Theory+%28ATIT%29&rft.atitle=Parallel+Distributed+Implementation+of+Neuroevolution+of+Augmenting+Topologies+in+Continuous+Control+Tasks&rft.au=Achour%2C+Illia&rft.au=Doroshenko%2C+Anatoliy&rft.date=2021-12-15&rft.pub=IEEE&rft.spage=267&rft.epage=271&rft_id=info:doi/10.1109%2FATIT54053.2021.9678858&rft.externalDocID=9678858 |