Towards novel deep neuroevolution models: chaotic levy grasshopper optimization for short-term wind speed forecasting Jalali, Seyed Mohammad Jafar, Ahmadian, S, Khodayar, M, Khosravi, Abbas, Ghasemi, V, Shafie-khah, M, Nahavandi, Saeid and Catalão, JPS 2021, Towards novel deep neuroevolution models: chaotic levy grasshopper optimization for short-term wind speed forecasting, Engineering with Computers, pp. 1-25, doi: 10.1007/s00366-021-01356-0. Attached Files Name Description MIMEType Size Downloads Title Towards novel deep neuroevolution models: chaotic levy grasshopper optimization for short-term wind speed forecasting Author(s) Jalali, Seyed Mohammad Jafar orcid.org/0000-0003-3565-2001 Ahmadian, S Khodayar, M Khosravi, Abbas orcid.org/0000-0001-6927-0744 Ghasemi, V Shafie-khah, M Nahavandi, Saeid orcid.org/0000-0002-0360-5270 Catalão, JPS Journal name Engineering with Computers Start page 1 End page 25 Total pages 25 Publisher Springer Place of publication Berlin, Germany Publication date 2021-03-08 ISSN 0177-0667 1435-5663 Keyword(s) Deep neuroevolution Enhanced grasshopper optimization algorithm Long short-term memory Wind speed forecasting Science & Technology Technology Computer Science, Interdisciplinary Applications Engineering, Mechanical Computer Science Engineering EMPIRICAL WAVELET TRANSFORM MOTH-FLAME OPTIMIZER NEURAL-NETWORK AUTOREGRESSIVE MODELS ELECTRICITY PRICE FEATURE-SELECTION BELIEF NETWORK PREDICTION ALGORITHM STRATEGY Language eng DOI 10.1007/s00366-021-01356-0 Field of Research 0102 Applied Mathematics 0801 Artificial Intelligence and Image Processing 0802 Computation Theory and Mathematics HERDC Research category C1 Refereed article in a scholarly journal Persistent URL http://hdl.handle.net/10536/DRO/DU:30149388 Document type: Journal Article Collection: Institute for Intelligent Systems Research and Innovation (IISRI) Related Links Link Description Connect to published version Go to link with your DU access privileges   Connect to Elements publication management system Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Mon, 22 Mar 2021, 08:49:27 EST Tue, 23 Mar 2021, 04:02:37 EST Tue, 23 Mar 2021, 07:07:35 EST Sat, 24 Apr 2021, 02:30:43 EST Wed, 02 Feb 2022, 05:02:28 EST Wed, 02 Feb 2022, 13:05:56 EST Wed, 02 Feb 2022, 13:07:15 EST Wed, 02 Feb 2022, 13:07:55 EST Wed, 30 Mar 2022, 13:11:12 EST Filtered Full Citation counts:   Cited 18 times in TR Web of Science Cited 30 times in Scopus Search Google Scholar Access Statistics: 41 Abstract Views, 0 File Downloads  -  Detailed Statistics Created: Mon, 22 Mar 2021, 08:49:27 EST