Review:
Genetic Algorithm
overall review score: 4.5
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score is between 0 and 5
A genetic algorithm is a search-based optimization technique inspired by the process of natural selection and genetics.
Key Features
- Population of candidate solutions
- Selection of parents for reproduction
- Crossover and mutation operations
- Fitness evaluation
Pros
- Efficient for complex optimization problems
- Flexible and adaptable to various problem domains
- Does not require knowledge of the problem's gradient or derivatives
Cons
- May require significant computational resources
- Can be slow in converging to the optimal solution