Manta ray foraging optimization with quasi-reflected opposition strategy for global optimization

• Main Authors: Abdul Razak, Ahmad Azwan, Nasir, Ahmad Nor Kasruddin, Abd Ghani, N. M., Mat Jusof, Mohd Falfazli
• Format: Conference or Workshop Item
• Language: English; English
• Published: Springer 2022
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://umpir.ump.edu.my/id/eprint/35299/1/Manta%20Ray%20Foraging%20Optimization%20with%20Quasi-Reflected_FULL.pdf; http://umpir.ump.edu.my/id/eprint/35299/7/Spiral-based%20manta%20ray%20foraging%20optimization%20to%20optimize%20PID%20control%20.pdf; http://umpir.ump.edu.my/id/eprint/35299/; https://doi.org/10.1007/978-981-16-8690-0_43

This paper proposes an extension of Manta Ray Foraging Optimization (MRFO) using Oppositional-based Learning (OBL) technique called Quasi Reflected Opposition (QRO). MRFO is a new algorithm that developed based on the nature of a species in cartilaginous fish called Manta Ray. Manta ray employs thre...