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PSO uses a population of particles that fly through the search space to reach an optimum.
Like a GA, the PSO also begins by generating a population of particles at random.
The PSO models the exploration of a problem space by a population of particles.
Similar to the genetic algorithm, a population of particles is used to search the solution space of an optimization problem.
Inspired by collective behaviors of bird flocks and fish schools, a PSO algorithm is made of a population of particles.
Many chemical engineering processes involve a population of particles with a distribution of sizes that changes over time.
Similar(40)
It may even be possible to develop a similar method to purify monodisperse solid particles from a population of polydisperse particles by removing particles above a size threshold by membrane filtration, followed by dialysis to eliminate particles below a smaller size threshold.
However, the observations by OCPP also showed that this micron-sized mode of particles generally coexists with a population of submicron particles, which were termed haze (Kawabata et al. 1980).
Moreover, Figure 1 shows that a population of GSR particles in the majority consists of particles revealing sizes of about 1 micrometer.
It predicts the effective permeability of magneto-dielectric composites with various particle-size distributions, indicating an optimal distribution for a population of magnetic particles.
To test this hypothesis, we first simulated a population of Brownian particles whose time-averaged diffusion coefficient was on the same order of magnitude as that of particles in untreated, blebbistatin-treated, and ML-7-treated fibroblasts.
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