What are the main challenges of using PSO algorithms?
Some challenges include parameter tuning, premature convergence, and handling dynamic environments.
How can I overcome premature convergence in PSO?
You can use techniques like introducing diversity, adjusting inertia weights, or using hybrid approaches.
Are there specific applications where PSO performs poorly?
Yes, PSO may struggle with high-dimensional problems or when the objective function is highly irregular.
What are some recent advancements in PSO algorithms?
Recent advancements include adaptive PSO, multi-objective PSO, and incorporating machine learning techniques.
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