GA optimization and parameter tuning at the mobile robot map building process

The genetic algorithms (GAs), as the optimization methods, are expansively used in mobile robot techniques. In this paper a previously developed, multi-agent based map building process optimizing GA [1] will be revised in form of GA algorithm optimization and GA's parameter tuning. The results of the algorithm-improving will be compared and analyzed in the conclusion.