the noise problem met during sensing-measurement hasn’t been adequately discussed. In this paper, the calculation errors caused by the noises are demonstrated. A practical optical sensing-localization algorithm based on specially organized Genetic Algorithm is proposed, and application-test experiments of this algorithm are described. Moreover, a parallel-operation scheme suited for Cloud-Computing supporting is introduced. Developments of the algorithm mentioned above provide an effective approach for the rapidly growing field, independent-localization, which would benefit the fields such as geographical mapping, navigation, especially when GPS becomes not readily available due to industrial or natural disturbances such as radio or thunder.
