Firefly Algorithm for Movable Antenna Arrays
<|reference_start|>Firefly Algorithm for Movable Antenna Arrays: This letter addresses a multivariate optimization problem for linear movable antenna arrays (MAAs). Particularly, the position and beamforming vectors of the under-investigated MAA are optimized simultaneously to maximize the minimum beamforming gain across several intended directions, while ensuring interference levels at various unintended directions remain below specified thresholds. To this end, a swarm-intelligence-based firefly algorithm (FA) is introduced to acquire an effective solution to the optimization problem. Simulation results reveal the superior performance of the proposed FA approach compared to the state-of-the-art approach employing alternating optimization and successive convex approximation. This is attributed to the FA's effectiveness in handling non-convex multivariate and multimodal optimization problems without resorting approximations.<|reference_end|>
@article{hoang2024firefly,
    title={Firefly Algorithm for Movable Antenna Arrays},
    author={Manh Kha Hoang, Tuan Anh Le, Kieu-Xuan Thuc, Tong Van Luyen, Xin-She
  Yang, Derrick Wing Kwan Ng},
    journal={arXiv preprint arXiv:2409.04228},
    year={2024},
    archivePrefix={arXiv},
    eprint={2409.04228},
    primaryClass={cs.IT eess.SP math.IT}
}