What is PSO implementation in AI?
PSO stands for Particle Swarm Optimization. It's an algorithm inspired by social behavior of birds and fish, used for solving optimization problems.
How does PSO work in practice?
In PSO, a group of candidate solutions, called particles, move around in the search space. They adjust their positions based on their own experience and that of their neighbors.
What are the advantages of using PSO?
PSO is easy to implement, requires few parameters, and is effective for a wide range of optimization problems, especially in continuous spaces.
Can you give an example of PSO in action?
Sure! PSO can be used in training neural networks, where it optimizes the weights to minimize the error in predictions.
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