Application of manta ray foraging optimization with gradient-based mutation (cMRFO) for solving power system problems

In this paper, the Manta Ray Foraging Optimization (MRFO) algorithm is applied to solve real parameter constrained optimization problems, using the Gradient-based Mutation MRFO (cMRFO) variant. The cMRFO algorithm integrates the MRFO strategy, which emulates the foraging behavior of Manta Rays, with...

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Bibliographic Details

Main Authors:	Ahmad Azwan, Abd Razak, Ahmad Nor Kasruddin, Nasir
Format:	Conference or Workshop Item
Language:	en en en
Published:	Institute of Electrical and Electronics Engineers Inc. 2023
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	https://umpir.ump.edu.my/id/eprint/37720/1/Application%20of%20manta%20ray%20foraging%20optimization%20with%20gradient-based%20mutation%20.pdf https://umpir.ump.edu.my/id/eprint/37720/2/Application%20of%20manta%20ray%20foraging%20optimization%20with%20gradient-based%20mutation_FULL.pdf https://umpir.ump.edu.my/id/eprint/37720/13/Application%20of%20manta%20ray%20foraging%20optimization.pdf https://umpir.ump.edu.my/id/eprint/37720/ https://doi.org/10.1109/ISCAIE57739.2023.10165419
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