13th International Conference on Membrane Computing - MTA Sztaki

L. Cienciala, L. Ciencialová, M. Perdek
Fig. 2. The initial configuration of Π 2
find another food source, the agent would be ”forgetting” the non-empty food
source it had already found, and it would start searching again.
This situation can be solved by adding a new agent to the 2D P colony. This
new agent is not an explorer. Its programs allow it to unblock the agents which
had stopped next to an empty food source. An alternative solution is to add
priorities to the program. We associate every program with a natural number.
During the computational step the program with the highest priority is chosen
to be executed.
5 Implementation of 2D P Colony Simulator
The simulation environment has been written in Java and it allows us to load,
save and create simulations using XML markup language. The simulation file is
loaded using XML parser and it creates a tree structure of objects using DOM
and JAXP. These objects represent parameters of the simulation, which contain
a description of the environment and agents in this environment. The information
describing the environment includes parameters such as speed of simulation,
the size and the contents of the environment. The speed of the simulation determines
the time interval between the steps of the simulation. The environment
and its contents are represented by a two-dimensional array of objects which is
168