Renewable Energy Engineering Optimization

Details are as follows: Renewable Energy

Participating Researchers:

Haichuan Yang 楊海川

Yifei Yang 楊逸飛

Xiaosi Li 李小司

Zihang Zhang 張子航

Published Journals:

1. Yang, H., Yu, Y., Cheng, J., Lei, Z., Cai, Z., Zhang, Z., & Gao, S. (2022). An intelligent metaphor-free spatial information sampling algorithm for balancing exploitation and exploration. Knowledge-Based Systems, 250, 109081.
2. Yang, H., Gao, S., Lei, Z., Li, J., Yu, Y., & Wang, Y. (2023). An improved spherical evolution with enhanced exploration capabilities to address wind farm layout optimization problem. Engineering Applications of Artificial Intelligence, 123, 106198.
3. Lei, Z., Gao, S., Zhang, Z., Yang, H., & Li, H. (2023). A Chaotic Local Search-Based Particle Swarm Optimizer for Large-Scale Complex Wind Farm Layout Optimization. IEEE/CAA Journal of Automatica Sinica, 10(5), 1-13.
4. Yu, Y., Zhang, T., Lei, Z., Wang, Y., Yang, H., & Gao, S. (2023). A chaotic local search-based LSHADE with enhanced memory storage mechanism for wind farm layout optimization. Applied Soft Computing, 141, 110306.
5. Zhang, Z., Yu, Q., Yang, H., Li, J., Cheng, J., & Gao, S. (2024). Triple-layered chaotic differential evolution algorithm for layout optimization of offshore wave energy converters. Expert Systems with Applications, 239, 122439.