Genetic algorithms for solving multi-objective optimization of robot`s cooperative behavior problems

The work is devoted to solve distributed goal problem in group of robots with multi-objective genetic algorithms. The paper shows the main problems to select the right stopping criterion for genetic algorithms and the way to apply a new genetic operator using the solution information of the other robots for save time in the search of the optimal solution.