Nataliia Y. Sergiienko

According to our database, Nataliia Y. Sergiienko authored at least 11 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Effective Self-Attention-Based Deep Learning Model with Evolutionary Grid Search for Robust Wave Farm Energy Forecasting.

Amin Abdollahi Dehkordi, Mehdi Neshat, Nataliia Y. Sergiienko, Zahra Ghasemi, Lei Chen, John Boland, Hamid Moradkhani, Amir H. Gandomi

CoRR, July, 2025

Hybrid Wave-wind System Power Optimisation Using Effective Ensemble Covariance Matrix Adaptation Evolutionary Algorithm.

Mehdi Neshat, Nataliia Y. Sergiienko, Leandro S. P. da Silva, Seyedali Mirjalili, Amir H. Gandomi, Ossama Abdelkhalik, John Boland

CoRR, May, 2025

2023

Large-scale Wave Energy Farm.

Mehdi Neshat, Bradley Alexander, Nataliia Y. Sergiienko, Markus Wagner

Dataset, September, 2023

2020

New insights into position optimisation of wave energy converters using hybrid local search.

Mehdi Neshat, Bradley Alexander, Nataliia Y. Sergiienko, Markus Wagner

Swarm Evol. Comput., 2020

Design optimisation of a multi-mode wave energy converter.

Nataliia Y. Sergiienko, Mehdi Neshat, Leandro S. P. da Silva, Bradley Alexander, Markus Wagner

CoRR, 2020

Optimisation of large wave farms using a multi-strategy evolutionary framework.

Mehdi Neshat, Bradley Alexander, Nataliia Y. Sergiienko, Markus Wagner

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

2019

A new insight into the Position Optimization of Wave Energy Converters by a Hybrid Local Search.

Mehdi Neshat, Bradley Alexander, Nataliia Y. Sergiienko, Markus Wagner

CoRR, 2019

A hybrid evolutionary algorithm framework for optimising power take off and placements of wave energy converters.

Mehdi Neshat, Bradley Alexander, Nataliia Y. Sergiienko, Markus Wagner

Proceedings of the Genetic and Evolutionary Computation Conference, 2019

2018

Sparse Incomplete LU-Decomposition for Wave Farm Designs Under Realistic Conditions.

Dídac Rodríguez Arbonès, Nataliia Y. Sergiienko, Boyin Ding, Oswin Krause, Christian Igel, Markus Wagner

Proceedings of the Parallel Problem Solving from Nature - PPSN XV, 2018

2016

Fast and Effective Multi-objective Optimisation of Submerged Wave Energy Converters.

Dídac Rodríguez Arbonès, Boyin Ding, Nataliia Y. Sergiienko, Markus Wagner

Proceedings of the Parallel Problem Solving from Nature - PPSN XIV, 2016

Fast and Effective Optimisation of Arrays of Submerged Wave Energy Converters.

Junhua Wu, Slava Shekh, Nataliia Y. Sergiienko, Benjamin S. Cazzolato, Boyin Ding, Frank Neumann, Markus Wagner

Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016