No abstract

In this paper, we empirically study the performance of the particle swarm optimizer (PSO). Four different benchmark functions with asymmetric initial range settings are selected as testing functions. The experimental results illustrate the advantages and disadvantages of the PSO. Under all the testing cases, the PSO always converges very quickly towards the optimal positions but may slow its convergence speed when it is near a minimum.Nevertheless, the experimental results show that the PSO is a promising optimization method and a new approach is suggested to improve PSO's performance near the optima, such as using an adaptive inertia weight.

Near-infrared upconversion chemodosimetry is a promising detection method by virtue of the frequency upconversion technique, which shows very high sensitivity and selectivity for the detection of Cu(2+) ions in vitro and in vivo. This method offers a new opportunity for noninvasive diagnosis of Wilson disease associated with Cu(2+) detection in clinical medicine.