Review:
Particle Swarm Optimization
overall review score: 4.5
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score is between 0 and 5
Particle swarm optimization (PSO) is a computational method that optimizes a problem by iteratively trying to improve a candidate solution with regard to a given measure of quality.
Key Features
- Iterative optimization algorithm
- Inspired by social behavior of bird flocking or fish schooling
- Global and local search capabilities
Pros
- Efficient optimization technique
- Can find global optimum in complex search spaces
- Simple to implement and tune
Cons
- May get stuck in local optima
- Performance highly depends on parameter settings