Self-Adaptive Mussels Wandering Optimization Algorithm with Application for Artificial Neural Network Training

Self-Adaptive Mussels Wandering Optimization Algorithm with Application for Artificial Neural Network Training

The mussels wandering optimization (MWO) is a recent population-based metaheuristic optimization algorithm inspired ecologically by mussels’ movement behavior. The MWO has been used successfully for solving several optimization problems. This paper proposes an enhanced version of MWO, known as the e...

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Bibliographic Details
Main Authors: Abusnaina Ahmed A., Abdullah Rosni, Kattan Ali
Format: Article
Language:English
Published: De Gruyter 2018-02-01
Series:Journal of Intelligent Systems
Subjects:
mussels wandering optimization
self-adaptive
metaheuristic
neural networks
pattern classification
Online Access:https://doi.org/10.1515/jisys-2017-0292

Internet

https://doi.org/10.1515/jisys-2017-0292

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