Multi-strategy improved salp swarm algorithm and its application in reliability optimization

Multi-strategy improved salp swarm algorithm and its application in reliability optimization

To improve the convergence speed and solution precision of the standard Salp Swarm Algorithm (SSA), a hybrid Salp Swarm Algorithm based on Dimension-by-dimension Centroid Opposition-based learning strategy, Random factor and Particle Swarm Optimization's social learning strategy (DCORSSA-PSO) i...

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Bibliographic Details
Main Authors: Chen, D. (Author), Du, X. (Author), Liu, J. (Author), Yao, C. (Author), Zhang, Z. (Author)
Format: Article
Language:English
Published: American Institute of Mathematical Sciences 2022
Subjects:
article
centroid opposition-based learning
Centroid opposition-based learning
Fault-trees
Friedman test
learning
Learning algorithms
Learning strategy
Learning systems
Opposition-based learning
particle swarm optimization
Particle swarm optimization (PSO)
probability
rank sum test
reliability
Reliability
salp swarm algorithm
Salp swarm algorithm
Salp swarms
simulation
social learning
Social learning
Swarm algorithms
Swarm intelligence
system reliability optimization
System reliability optimizations
Trees (mathematics)
T-S fault tree
velocity
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