A heuristic particle swarm optimizer for optimization of pin connected structures

By L. Li, Z. B. Huang, Feng Liu, Q. Henry Wu. 2007

409 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Civil and Structural Engineering, Computational Theory and Mathematics

View Paper: https://www.semanticscholar.org/paper/874f6fc60361aa15091afe6325507f0fd69e2ef2

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In Artificial Intelligence

In Civil and Structural Engineering

In Computational Theory and Mathematics

Citations in the corpus

Optimum shape design of arch dams for earthquake loading using a fuzzy inference system and wavelet neural networks (2009, methodology): “In the kth iteration, the swarm is updated using the following equations (Perez and Behdinan 2007, Li et al. 2007): vk+1i = ρkvki + s1 rand1(pki − x̂ki ) + s2 rand2(pkg − x̂ki ) (28) x̂k+1i = x̂ki + vk+1i (29) where x̂i and vi represent the current position and velocity vectors of the ith particle,…”
Multi-Verse Optimizer: a nature-inspired algorithm for global optimization (2015, result): “We compare the results to PSO [48], GA [49–51], ES [52], DE [53], and ACO [54].”
Moth-flame optimization algorithm: A novel nature-inspired heuristic paradigm (2015, methodology): “This problem was solved using meta-heuristics such as PSO [66], ES [81], GA [79], HS [78], and DE [82].”
Sizing optimization of truss structures by method of centers and force formulation (2010, methodology): “…21.7026 21.556 21.5294 0.100 0.1000 0.1 0.100 0.1000 5057.88a 5060.85 5061.90 5061.03 5061.4 izzi 976) John et al. (1987) Lee and Geem (2004) Li et al. (2007) This work 23.53 23.59 23.25 23.743 23.5270 0.100 0.10 0.102 0.101 0.1000 25.29 25.25 25.73 25.287 25.2941 14.37 14.37 14.51 14.413…”
Mathematical and Metaheuristic Applications in Design Optimization of Steel Frame Structures: An Extensive Review (2013, methodology): “[182] presented a heuristic particle swarm optimizer for the optimum design of pin jointed steel frames.”
Size optimization of space trusses using Big Bang-Big Crunch algorithm (2009, methodology): “In the last decades, different natural evolutionary algorithms have been employed for structural optimization including Genetic Algorithms [1–15], Simulated Annealing algorithm [16–21], Ant Colony Optimization [22–29], Particle Swarm Optimizer [30–32] and Harmony Search [33–35].”