Moth Swarm Algorithm (MSA)
Moth Swarm Algorithm (MSA): A new high-level algorithm, inspired by the orientation of moths towards moonlight.
Two novel optimization operators have been proposed:
(1) Dynamic selection strategy of crossover points based on population diversity to handle the difference vectors Lévy-mutation to improve exploration ability in the reconnaissance phase.
(2) Associative learning mechanism with immediate memory. Simulate short-term memory of moth, reduces the required memory and overcomes the initial velocity problem of classical-PSO. This mechanism is used for narrow scope exploitation in the celestial navigation phase.
This code demonstrates how MSA works for twenty-three commonly used benchmarks.
For more info please refer to:
Mohamed, A. A. A., El-Gaafary, A. A., Mohamed, Y. S., & Hemeida, A. M. (2017). Optimal power flow using moth swarm algorithm. Electric Power Systems Research, 142, 190–206. DOI: http://dx.doi.org/10.1016/j.epsr.2016.09.025
(http://www.sciencedirect.com/science/article/pii/S0378779616303765)
Cite As
Attar Mohamed (2024). Moth Swarm Algorithm (MSA) (https://www.mathworks.com/matlabcentral/fileexchange/57822-moth-swarm-algorithm-msa), MATLAB Central File Exchange. Retrieved .
MATLAB Release Compatibility
Platform Compatibility
Windows macOS LinuxCategories
Tags
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!Discover Live Editor
Create scripts with code, output, and formatted text in a single executable document.
MSA/
Version | Published | Release Notes | |
---|---|---|---|
1.0.0.0 | Modify the hints related to the numbering of equations. A link to the research paper. |