Applications of Particle Swarm Optimization in Mechanical Design
نویسنده
چکیده
Particle swarm optimization (PSO) has shown to be an efficient, robust and simple optimization algorithm. Most of the PSO studies are empirical, with only a few theoretical analyses that concentrate on understanding particle trajectories. This paper overviews current theoretical studies, and extend these studies to applications in mechatronic systems, such as identification, control gains and optimization in design. Experimental results are provided to support the conclusions drawn from the theoretical findings. Keyword: Particle swarm optimization (PSO), mechatronic systems, identification, control gains, optimization
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