Abstract
Robots active olfaction based on Genetic algorithm, in order to make the robot car plume in a specific environment, can be faster and more accurate to find the odor source, through the genetic algorithm crossover and mutation operator improved, the formation of a new improved genetic algorithm. In the five assumptions, will improve the genetic algorithm is applied to the robot active olfaction study, simulation results show that the genetic algorithm with the traditional comparison, the robot car can be faster and more accurate in finding the odor plume source.
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