Manta ray foraging optimization with quasi-reflected opposition strategy for global optimization
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...
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| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
Springer
2022
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| Subjects: | |
| 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 |
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