66 citations · 140 across the 14 of their papers we have counts for
5 papers · 1 filter
A Hybrid Cooperative Co-evolution Algorithm Framework for Optimising Power Take Off and Placements of Wave Energy Converters
Mehdi Neshat, Bradley Alexander, Markus Wagner
Wave energy technologies have the potential to play a significant role in the supply of renewable energy on a world scale. One of the most promising designs for wave energy convert…
Covariance Matrix Adaptation Greedy Search Applied to Water Distribution System Optimization
Mehdi Neshat, Bradley Alexander, Angus Simpson
Water distribution system design is a challenging optimisation problem with a high number of search dimensions and constraints. In this way, Evolutionary Algorithms (EAs) have been…
Adaptive Neuro-Surrogate-Based Optimisation Method for Wave Energy Converters Placement Optimisation
Mehdi Neshat, Ehsan Abbasnejad, Qinfeng Shi +2
The installed amount of renewable energy has expanded massively in recent years. Wave energy, with its high capacity factors has great potential to complement established sources o…
A Hybrid Evolutionary Algorithm Framework for Optimising Power Take Off and Placements of Wave Energy Converters
Mehdi Neshat, Bradley Alexander, Nataliia Sergiienko +1
Ocean wave energy is a source of renewable energy that has gained much attention for its potential to contribute significantly to meeting the global energy demand. In this research…
A new insight into the Position Optimization of Wave Energy Converters by a Hybrid Local Search
Mehdi Neshat, Bradley Alexander, Nataliia Sergiienko +1
Renewable energy, such as ocean wave energy, plays a pivotal role in addressing the tremendous growth of global energy demand. It is expected that wave energy will be one of the fa…