Gradient-based mutation manta ray foraging optimization (gbm-mrfo) for solving constrained real-world problems

Gradient-based mutation manta ray foraging optimization (gbm-mrfo) for solving constrained real-world problems

In this paper, a new variant of Manta Ray Foraging Optimization (MRFO) algorithm is introduced to deal with real parameter constrained optimization problem. Gradient-based Mutation MRFO (GbM-MRFO) is derived from basic strategy of MRFO and synergized with the Gradient-based Mutation strategy. MRFO i...

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Bibliographic Details
Main Authors: Ahmad Azwan, Abdul Razak, Ahmad Nor Kasruddin, Nasir
Format: Conference or Workshop Item
Language:English
Published: 2022
Subjects:
T Technology (General)
TA Engineering (General). Civil engineering (General)
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://umpir.ump.edu.my/id/eprint/36959/
http://umpir.ump.edu.my/id/eprint/36959/1/Gradient-based%20mutation%20manta%20ray%20foraging%20optimization%20%28gbm-mrfo%29%20for%20solving%20constrained%20real-world%20problems.pdf

Internet

http://umpir.ump.edu.my/id/eprint/36959/
http://umpir.ump.edu.my/id/eprint/36959/1/Gradient-based%20mutation%20manta%20ray%20foraging%20optimization%20%28gbm-mrfo%29%20for%20solving%20constrained%20real-world%20problems.pdf

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