Chaotic swarming of particles: A new method for size optimization of truss structures |
| |
| Affiliation: | 1. Centre of Excellence for Fundamental Studies in Structural Engineering, Iran University of Science and Technology, Narmak, Tehran 16, Iran;2. Department of Civil and Environmental Engineering, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran;3. Department of Civil Engineering, University of Tabriz, Tabriz, Iran;1. Centre of Excellence for Fundamental Studies in Structural Engineering, Department of Civil Engineering, Iran University of Science and Technology, Tehran, Iran;2. School of Civil Engineering, Iran University of Science and Technology, Narmak, Tehran 16, Iran;1. Global Institute for Water Security, School of Environment and Sustainability, University of Saskatchewan, Saskatoon, Canada;2. Department of Civil and Geological Engineering, University of Saskatchewan, Saskatoon, Saskatchewan, Canada;1. Department of Civil Engineering, University of Birjand, Birjand, Iran;2. Department of Civil Engineering, Vali-e-Asr University of Rafsanjan, Rafsanjan, Iran |
| |
| Abstract: | A new combination of swarm intelligence and chaos theory is presented for optimal design of truss structures. Here the tendency to form swarms appearing in many different organisms and chaos theory has been the source of inspiration, and the algorithm is called chaotic swarming of particles (CSP). This method is a kind of multi-phase optimization technique which employs chaos theory in two phases, in the first phase it controls the parameter values of the particle swarm optimization (CPVPSO) and the second phase is utilized for local search (CLSPSO). Some truss structures are optimized using the CSP algorithm, and the results are compared to those of the other meta-heuristic algorithms showing the effectiveness of the new method. |
| |
| Keywords: | Meta-heuristic algorithm Swarm intelligence Particle swarm optimizer Chaos theory Truss structures Size optimization |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
