Enhancing particle swarm optimization algorithm using two new strategies for optimizing design of truss structures
| العنوان: | Enhancing particle swarm optimization algorithm using two new strategies for optimizing design of truss structures |
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| المؤلفون: | Shih-Lin Hung, J. C. Jan, Y. C. Lu, G. H. Hung |
| المصدر: | Engineering Optimization. 45:1251-1271 |
| بيانات النشر: | Informa UK Limited, 2013. |
| سنة النشر: | 2013 |
| مصطلحات موضوعية: | Mathematical optimization, Control and Optimization, Heuristic (computer science), Applied Mathematics, Truss, Particle swarm optimization, Management Science and Operations Research, Industrial and Manufacturing Engineering, Computer Science Applications, Maxima and minima, Rate of convergence, Benchmark (computing), Multi-swarm optimization, Algorithm, Metaheuristic, Mathematics |
| الوصف: | This work develops an augmented particle swarm optimization (AugPSO) algorithm using two new strategies,: boundary-shifting and particle-position-resetting. The purpose of the algorithm is to optimize the design of truss structures. Inspired by a heuristic, the boundary-shifting approach forces particles to move to the boundary between feasible and infeasible regions in order to increase the convergence rate in searching. The purpose of the particle-position-resetting approach, motivated by mutation scheme in genetic algorithms (GAs), is to increase the diversity of particles and to prevent the solution of particles from falling into local minima. The performance of the AugPSO algorithm was tested on four benchmark truss design problems involving 10, 25, 72 and 120 bars. The convergence rates and final solutions achieved were compared among the simple PSO, the PSO with passive congregation (PSOPC) and the AugPSO algorithms. The numerical results indicate that the new AugPSO algorithm outperforms the simpl... |
| تدمد: | 1029-0273 0305-215X |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_________::b2c907c1812e94ca219bcec2858572fe https://doi.org/10.1080/0305215x.2012.729054 |
| رقم الأكسشن: | edsair.doi...........b2c907c1812e94ca219bcec2858572fe |
| قاعدة البيانات: | OpenAIRE |
PDF full text from Publisher | تدمد: | 10290273 0305215X |
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