Hybrid manta ray foraging—particle swarm algorithm for PD control optimization of an inverted pendulum

• Main Authors: M. F. M., Jusof, S., Mohammad, A. A. A., Razak, N. A. M., Rizal, A. N. K., Nasir, M. A., Ahmad
• Format: Conference or Workshop Item
• Language: English
• Published: Springer, Singapore 2022
• Subjects: T Technology (General); TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://umpir.ump.edu.my/id/eprint/34300/1/Hybrid%20manta%20ray%20foraging%E2%80%94particle%20swarm%20algorithm.pdf; http://umpir.ump.edu.my/id/eprint/34300/; https://doi.org/10.1007/978-981-33-4597-3_1

This paper presents a hybrid Manta ray foraging—particle swarm optimization algorithm. Manta Ray Foraging Optimization (MRFO) algorithm is a recent algorithm that has a promising performance as compared to other popular algorithms. On the other hand, Particle Swarm Optimization (PSO) algorithm is a...