Abstract
Particle swarm optimization is simple, easily achieved and do not need to adjust many parameters. And it doesn't need the gradient information. Now, this algorithm has been widely used in function optimization, nerve network training, fuzzy systems control and so on. In this paper, we use this algorithm to solve the optimal design of thermal insulation on the pipeline. Numerical results show that this algrithm can get more precise results than methods before used.
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