What are the key parameters of the PSO algorithm?
The key parameters of the PSO algorithm include the number of particles, inertia weight, cognitive coefficient, and social coefficient.
Can you explain what the inertia weight does?
The inertia weight controls the impact of the previous velocity of a particle on its current velocity, helping to balance exploration and exploitation.
What is the cognitive coefficient?
The cognitive coefficient determines how much a particle is influenced by its own best-known position, encouraging personal exploration.
How does the social coefficient affect the algorithm?
The social coefficient influences how much a particle is attracted to the best-known position of its neighbors, promoting collaboration.
Are there any recommended values for these parameters?
Commonly, inertia weight is set between 0.4 and 0.9, while cognitive and social coefficients are often set around 1.5.
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