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An Expansive overview of Genetic Algorithms
- Inherently parallel
- Does not require any derivative information
- More efficient and easy to understand
- Provides multiple solutions
- Optimizes both continuous and discrete functions
- If not implemented properly, the genetic Algorithm may not converge to a perfect solution.
- The Fitness value is calculated repeatedly which might be expensive for some problems.
- They are not suited for the problem which is simple
- They dont scale well with complexities