Particle swarm approach for structural design optimization
By Ruben E. Perez, Kamran Behdinan. 2007
749 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Civil and Structural Engineering, Computational Theory and Mathematics
View Paper: https://www.semanticscholar.org/paper/f53920f40850aa5e9525539a2f032d743f088770
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Ali Kaveh
- Siamak Talatahari
- Mehmet Polat Saka
- Zong Woo Geem
- Leandro Fleck Fadel Miguel
- Rafael Holdorf Lopez
- Matheus S. Gonçalves
- Saeed Gholizadeh
In Civil and Structural Engineering
- Ali Kaveh
- Siamak Talatahari
- Mehmet Polat Saka
- Zong Woo Geem
- Leandro Fleck Fadel Miguel
- Rafael Holdorf Lopez
- Matheus S. Gonçalves
- Saeed Gholizadeh
In Computational Theory and Mathematics
- Mehmet Polat Saka
- Ali Kaveh
- Siamak Talatahari
- Zong Woo Geem
- Leandro Fleck Fadel Miguel
- Rafael Holdorf Lopez
- Matheus S. Gonçalves
- Saeed Gholizadeh
Citations in the corpus
- Interval dynamic response analysis of vehicle-bridge interaction system with uncertainty (2013, background): “It has been demonstrated that PSO can get better results in a faster and cheaper way in comparison with other heuristic methods like genetic algorithm (GA) and simulated annealing (SA) [28].”
- Search group algorithm (2015, methodology): “For example, classical metaheuristic algorithms such as Simulated Annealing [5,6], Genetic Algorithms [7,8], Particle Swarm Optimization [6,9–11], Harmony Search [12–14] and Ant Colony Optimization [15], were employed.”
- Size optimization of space trusses using Big Bang-Big Crunch algorithm (2009, methodology): “Perez and Behdinan PSO [32] Camp BB–BC [46] Present work”
- Reliability in composites – a selective review and survey of current development (2012, methodology): “Hence, PSO has a higher speed of convergence than traditional GA [119,120], although GA determines values more accurately than does the PSO algorithm [121,122].”
- Geometry and topology optimization of geodesic domes using charged system search (2011, background): “• Sizing optimization in which the geometry and topology of the structure remain unchanged but cross sectional properties are optimized (e.g. Rajeev and Krishnamoorthy 1992; Camp et al. 1998; Camp and Bichon 2004; Serra and Venini 2006; Perez and Behdinan 2007; Lamberti 2008; Kaveh and Shojaee 2007;”
- Optimum shape design of arch dams for earthquake loading using a fuzzy inference system and wavelet neural networks (2009, methodology): “In the k th iteration, the swarm is updated using the following equations (Perez and Behdinan 2007 , Li et al .”
- Mathematical and Metaheuristic Applications in Design Optimization of Steel Frame Structures: An Extensive Review (2013, background): “Perez and Behdinan [179] presented particle swarm based optimum design algorithm for pin jointed steel frames.”