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Found 14 papers, 1 papers with code
Hybrid Neuro-Evolutionary Method for Predicting Wind Turbine Power Output
Reliable wind turbine power prediction is imperative to the planning, scheduling and control of wind energy farms for stable power production.
Optimisation of Large Wave Farms using a Multi-strategy Evolutionary Framework
The primary goal of this research is to maximise the total harnessed power of a large wave farm consisting of fully-submerged three-tether wave energy converters (WECs).
Evolutionary Image Transition and Painting Using Random Walks
We introduce an evolutionary image painting approach whose underlying biased random walk can be controlled by a parameter influencing the bias of the random walk and thereby creating different artistic painting effects.
An Evolutionary Deep Learning Method for Short-term Wind Speed Prediction: A Case Study of the Lillgrund Offshore Wind Farm
Accurate short-term wind speed forecasting is essential for large-scale integration of wind power generation.
Design optimisation of a multi-mode wave energy converter
A wave energy converter (WEC) similar to the CETO system developed by Carnegie Clean Energy is considered for design optimisation.
A Hybrid Cooperative Co-evolution Algorithm Framework for Optimising Power Take Off and Placements of Wave Energy Converters
Such arrays can be optimised for total energy output by adjusting both the relative positions of buoys in farms and also the power-take-off (PTO) parameters for each buoy.
Covariance Matrix Adaptation Greedy Search Applied to Water Distribution System Optimization
This is followed by an upward-greedy search phase to remove pressure violations.
Adaptive Neuro-Surrogate-Based Optimisation Method for Wave Energy Converters Placement Optimisation
The installed amount of renewable energy has expanded massively in recent years.
A new insight into the Position Optimization of Wave Energy Converters by a Hybrid Local Search
We compare the proposed hybrid method with other state-of-the-art search methods in five different wave scenarios -- one simplified irregular wave model and four real wave climates.
A Hybrid Evolutionary Algorithm Framework for Optimising Power Take Off and Placements of Wave Energy Converters
In this research, we investigate the problem of maximising the energy delivered by farms of wave energy converters (WEC's).
A Cell-Division Search Technique for Inversion with Application to Picture-Discovery and Magnetotellurics
In this work we improve upon previous work by defining a compact and expressive representation and search process able to describe and discover two and three dimensional spatial models.
Evolution of Images with Diversity and Constraints Using a Generator Network
To date this work has focused on the generation of images concordant with one or more classes and transfer of artistic styles.
The Evolutionary Process of Image Transition in Conjunction with Box and Strip Mutation
Evolutionary algorithms have been used in many ways to generate digital art.
Evolutionary Image Transition Based on Theoretical Insights of Random Processes
Evolutionary algorithms have been widely studied from a theoretical perspective.
