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

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

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...

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Bibliographic Details
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/
http://umpir.ump.edu.my/id/eprint/34300/1/Hybrid%20manta%20ray%20foraging%E2%80%94particle%20swarm%20algorithm.pdf

Internet

http://umpir.ump.edu.my/id/eprint/34300/
http://umpir.ump.edu.my/id/eprint/34300/1/Hybrid%20manta%20ray%20foraging%E2%80%94particle%20swarm%20algorithm.pdf

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