
Intelligent Energy Systems using the Barnacles Mating Optimizer and Evolutionary Mating Algorithm
Foundations, Methods, and Applications
- 1st Edition - November 1, 2025
- Imprint: Elsevier
- Authors: Mohd Herwan Sulaiman, Zuriani Mustaffa
- Language: English
- Paperback ISBN:9 7 8 - 0 - 4 4 3 - 3 3 7 7 5 - 8
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 3 3 7 7 6 - 5
Intelligent Energy Systems using the Barnacles Mating Optimizer and Evolutionary Mating Algorithm: Foundations, Methods, and Applications reveals the potential of innovative optimi… Read more
Purchase options

- Builds step-by-step from foundational principles to complex applications in sustainable energy systems
- Includes case studies, tools, and complimentary MATLAB code to try out, rework, and apply to new problems
- Guides readers through these innovative methods, as part of the ground-breaking Advances in Intelligent Energy Systems
1. Challenges of renewable energy systems and the artificial intelligence opportunity
2. Fundamentals of swarm-based algorithms
3. Fundamentals of evolution-based algorithms
4. Fundamentals of physics- and human-based algorithms
5. Fundamentals of the Barnacles Mating Optimizer
6. The Evolutionary Mating Algorithm: principles and applications
7. Deep learning approaches
7.i. Supervised learning with feedforward neural networks (FFNN)
7.ii. Other deep learning families
Part II: Applications for Renewable Energy Systems
8. State of charge (SOC) estimation in electric vehicles using deep learning feedforward neural networks
9. Hybrid of metaheuristic learning with deep learning in battery management of electric vehicles
10. Optimal reactive power dispatch using the Barnacle Mating Optimizer
11. Optimal power flow solutions enhanced by the Evolutionary Mating Algorithm
12. Renewable energy power forecasting, enhanced by hybrid Barnacle Mating Optimizer-Evolutionary Mating Algorithm deep learning
12.i. Solar power
12.ii. Wind power
- Edition: 1
- Published: November 1, 2025
- Imprint: Elsevier
- Language: English
MS
Mohd Herwan Sulaiman
Mohamed Herwan Sulaiman currently serves as an Associate Professor in the Faculty of Electrical and Electronics Engineering Technology at the Universiti Malaysia Pahang Al-Sultan Abdullah (UMPSA), Malaysia. His research interests lie in power system optimization and swarm intelligence applications to power system studies. He has authored and co-authored more than 150 technical papers in the international journals and conferences and has been invited as a Journal reviewer for several international impact journals in the field of power systems and soft computing applications and many more.
ZM