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Results tagged with genetic-algorithms
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user 28348
For questions related to genetic algorithms (GAs), which are a form of evolutionary algorithms. A genetic algorithm is a method (more precisely, a metaheuristic) for solving optimization and search problems based on natural selection processes (that is, they use bio-inspired operators such as mutation, crossover, and selection).
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How to create a good fitness function?
In my experience, the fitness function is a way to define the goal of a genetic algorithm. It provides a way to compare how "good" two solutions are, for example, for mate selection and for deleting " …
- 363
1
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Are there clever (fitness-based) crossover operators for binary chromosomes?
It's not obvious what you mean by "intelligent crossover".
However, it is common to use fitness-based selection of parents: individuals in the current population who have higher fitness are assigne …
- 363