[Retracted] A Classification Technique for English Teaching Resources and Merging Using Swarm Intelligence Algorithm

Algorithm 1

The PSO technique.

	Step 1: Perform an initialization of the particle swarm’s parameters, including the determination of the population size N, the weight coefficient ω, and the maximum number of repetitions T.
	Step 2: Determine the individual extreme value as well as the global extreme value after computing the fitness value of each particle in turn according to the position of the particle.
	Step 3: Calculate updated values for the velocity and position of each particle grounded on equations (1) and (2).
	Step 4: Determine if the determined numeral of iterations has been touched. If the determined numeral of iterations has been grasped, then yield the optimal solution. If the determined numeral and figure of iterations has not been gotten, then skip Step 2 and carry on the current ongoing iteration.