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'•° , *what is genetic algorith?'•° , *
Answers
A genetic algorithm is a search heuristic that is inspired by Charles Darwin’s theory of natural evolution. This algorithm reflects the process of natural selection where the fittest individuals are selected for reproduction in order to produce offspring of the next generation
Answer:
In computer science and operations research, a genetic algorithm is a metaheuristic inspired by the process of natural selection that belongs to the larger class of evolutionary algorithms.
In computer science and operations research, a genetic algorithm is a metaheuristic inspired by the process of natural selection that belongs to the larger class of evolutionary algorithms.Pros and cons
In computer science and operations research, a genetic algorithm is a metaheuristic inspired by the process of natural selection that belongs to the larger class of evolutionary algorithms.Pros and consGenetic algorithms search parallel from a population of points. Therefore, it has the ability to avoid being trapped in local optimal solution like traditional methods, which search from a single point. Genetic algorithms use probabilistic selection rules, not deterministic ones.
Function
FunctionThe main operators of the genetic algorithms are reproduction, crossover, and mutation. Reproduction is a process based on the objective function (fitness function) of each string. This objective function identifies how “good” a string is.