Review:
Evolutionary Algorithms
overall review score: 4.5
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score is between 0 and 5
Evolutionary algorithms are optimization algorithms inspired by the principles of natural selection and genetics.
Key Features
- Population-based optimization
- Selection, crossover, mutation operators
- Fitness function evaluation
Pros
- Efficiently solve complex optimization problems
- Can handle non-linear and non-convex functions
- Adaptive and flexible approach
Cons
- May require tuning of parameters
- Computationally expensive for large-scale problems