Integrated particle swarm optimization (i-PSO) was developed. The
i-PSO approach is better than traditional PSO in three ways: initialization of the population, fitness function and crossover. Using i-PSO we get the global position of the particle in the form
of a weighted matrix with the original dataset gives a new dataset, which is subsequently employed with multiple classification techniques
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