Adaptive-somersault MRFO for global optimization with an application to optimize PD control

• Main Authors: Mohd Falfazli, Mat Jusof, Ahmad Nor Kasruddin, Nasir, Ahmad Azwan, Abdul Razak, Nurul Amira, Mhd Rizal, Mohd Ashraf, Ahmad, Ikhwan Hafiz, Muhamad
• 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/34294/1/Adaptive-somersault%20mrfo%20for%20global%20optimization.pdf; http://umpir.ump.edu.my/id/eprint/34294/; https://doi.org/10.1007/978-981-16-2406-3_75

This paper presents an Adaptive-Somersault Manta Ray Foraging Algorithm (AS-MRFO). Manta Ray Foraging Algorithm (MRFO) is a recently introduced algorithm inspired from Manta Ray Foraging strategy. MRFO is proven as a good performance optimization algorithm in finding a theoretical optima solution of...