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Adaptive Neuro-Surrogate-Based Optimisation Method for Wave Energy
  Converters Placement Optimisation
v1v2 (latest)

Adaptive Neuro-Surrogate-Based Optimisation Method for Wave Energy Converters Placement Optimisation

International Conference on Neural Information Processing (ICONIP), 2019
6 July 2019
Mehdi Neshat
Ehsan Abbasnejad
Javen Qinfeng Shi
Bradley Alexander
Markus Wagner
ArXiv (abs)PDFHTML

Papers citing "Adaptive Neuro-Surrogate-Based Optimisation Method for Wave Energy Converters Placement Optimisation"

6 / 6 papers shown
Estimator Model for Prediction of Power Output of Wave Farms Using
  Machine Learning Methods
Estimator Model for Prediction of Power Output of Wave Farms Using Machine Learning Methods
Bhavana Burramukku
105
2
0
26 Nov 2020
Hybrid Neuro-Evolutionary Method for Predicting Wind Turbine Power
  Output
Hybrid Neuro-Evolutionary Method for Predicting Wind Turbine Power Output
Mehdi Neshat
M. M. Nezhad
Ehsan Abbasnejad
D. Groppi
A. Heydari
L. B. Tjernberg
D. Garcia
Bradley Alexander
Markus Wagner
157
5
0
02 Apr 2020
Optimisation of Large Wave Farms using a Multi-strategy Evolutionary
  Framework
Optimisation of Large Wave Farms using a Multi-strategy Evolutionary FrameworkAnnual Conference on Genetic and Evolutionary Computation (GECCO), 2020
Mehdi Neshat
Bradley Alexander
N. Sergiienko
Markus Wagner
294
32
0
21 Mar 2020
An Evolutionary Deep Learning Method for Short-term Wind Speed
  Prediction: A Case Study of the Lillgrund Offshore Wind Farm
An Evolutionary Deep Learning Method for Short-term Wind Speed Prediction: A Case Study of the Lillgrund Offshore Wind Farm
Mehdi Neshat
M. M. Nezhad
Ehsan Abbasnejad
L. B. Tjernberg
D. Garcia
Bradley Alexander
Markus Wagner
125
9
0
21 Feb 2020
Investigating Wave Energy Potential in Southern Coasts of the Caspian
  Sea Using Grey Wolf Optimizer Algorithm
Investigating Wave Energy Potential in Southern Coasts of the Caspian Sea Using Grey Wolf Optimizer Algorithm
E. Amini
S. T. O. Naeeni
P. Ghaderi
Fereidoun Amini
81
5
0
31 Dec 2019
A Hybrid Cooperative Co-evolution Algorithm Framework for Optimising
  Power Take Off and Placements of Wave Energy Converters
A Hybrid Cooperative Co-evolution Algorithm Framework for Optimising Power Take Off and Placements of Wave Energy ConvertersInformation Sciences (Inf. Sci.), 2019
Mehdi Neshat
Bradley Alexander
Markus Wagner
126
61
0
03 Oct 2019
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