Dynamic Formation Of Autonomus Agents Based On Algorithm Flocking Behavior

Approach to organizing group formations still are static, causingthe formation has not been able to adapt to the changing circumstances of both obstacle or barrier that will be encountered.This study was to model the behavior of autonomous agents formation dynamic moves past the obstacles and reshaping the initial lineup after passing obstacles based algorithm flocking behavior. There were four formations that are examined in this study i.e. column formation, a circle, a line formation and the formation of the triangle. All forms of word formation in narrow spaces and one labyrinth. The labyrinthine 121, 123 and labyrinth mazes is structuring three zigzag number of narrow spaces is bypassed by the formation of autonomous agents. The results of the error of the average position of the formation of autonomous agents in one narrow space is 0%. At 121 maze, the percentage error of the position of the movement of the formation is the largest circle formation agents namely 52.63% and the percentage error of the triangular formation is the smallest position i.e. 44.83%. In the maze of 123, the percentage error of the triangular formation is the largest position i.e. 55.42% and the smallest is the position error percentage column namely 42.42%. The percentage error of the position of the movement of the formation of the largest agencies in the maze of zigzag formation is the circle i.e. 90.69% and the smallest is the position error percentage column namely 48.488%.