Structural reliability assessment based on particles swarm optimization
By Charles Elegbede. 2005
164 citations recorded by the source corpus.
Subfields: Civil and Structural Engineering, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/6aa50a9a7275d266ac15faa942a4e9c2b7628382
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In Civil and Structural Engineering
In Statistics and Probability
Citations in the corpus
- Gaussian quantum-behaved particle swarm optimization approaches for constrained engineering design problems (2010, unknown): “In this context, the development of bio-inspired methodologies based on particle swarm optimization (PSO) systems is a relevant research area with applications in areas such as control systems (Coelho, Oliveira, & Cunha, 2005), data mining (Sousa, Silva, & Neves, 2004), manufacturing (Andrés & Lozan”
- A new adaptive importance sampling Monte Carlo method for structural reliability (2013, methodology): “Heuristic methods: in these methods, the shortest distance of the limit state function from the origin of the standard normal coordinate system is considered a fitness function and obtained by heuristic methods such as Genetic Algorithm (GA), Particle Swarm Optimization (PSO) or others heuristic opt”
- A cuckoo search algorithm by Lévy flights for solving reliability redundancy allocation problems (2013, methodology): “Moreover, several optimization algorithms based on swarm intelligence, such as the particle swarm optimization algorithm (Coelho 2009, Elegbede 2005,Yin et al. 2007,Wu et al. 2010), genetic algorithm (Yokota et al. 1996, Gen and Kim 1999, Marseguerra et al. 2004, Painton and Campbell 1995),…”