On Genetic Crossover Operators for Relative Order Preservation

@inproceedings{Moscato1989OnGC,
  title={On Genetic Crossover Operators for Relative Order Preservation},
  author={Pablo Moscato},
  year={1989}
}
Genetic Algorithms is a population-based optimization strategy that has been successfully applied to many real world and accademic optimization problems. The crossover operator plays a very important role in genetic algorithms since it is the element that generates the exchange of information between individuals during the search. This paper shows how the careful design of these crossover operators should be essential to avoid loss of information. This is shown graphically using the Travelling… CONTINUE READING

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