What are some common issues faced in PSO?
Some common issues in Particle Swarm Optimization (PSO) include premature convergence, lack of diversity, and sensitivity to parameters.
Can you explain premature convergence?
Premature convergence occurs when the swarm converges to a suboptimal solution too quickly, preventing exploration of better solutions.
How can we avoid these issues?
To avoid these issues, you can adjust parameters, implement diversity strategies, or use hybrid approaches with other optimization methods.
What are some strategies to maintain diversity in the swarm?
Strategies to maintain diversity include using velocity clamping, introducing random perturbations, or employing a multi-swarm approach.
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