Nonlinear marine predator algorithm: A cost-effective optimizer for fair power allocation in NOMA-VLC-B5G networks

作者：

Highlights：

• Non-linear Marine Predator Algorithm (NMPA) is introduced in this paper.

• NMPA mimics two foraging techniques by marine predators: Levy and Brownian movements.

• Fair power allocation in NOMA-VLC-B5G Networks is solved using NMPA algorithm.

摘要

•Non-linear Marine Predator Algorithm (NMPA) is introduced in this paper.•NMPA mimics two foraging techniques by marine predators: Levy and Brownian movements.•Fair power allocation in NOMA-VLC-B5G Networks is solved using NMPA algorithm.

论文关键词：Meta-heuristic,Optimization,Beyond-5G networks,Marin predator algorithm,Nonlinear theory,Algorithm,Benchmark,Visible light communications

论文评审过程：Received 27 October 2021, Revised 3 March 2022, Accepted 25 April 2022, Available online 2 May 2022, Version of Record 11 May 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.117395