  One of the important issues in computer networks is "Load Balancing" which
leads to efficient use of the network resources. To achieve a balanced network
it is necessary to find different routes between the source and destination. In
the current paper we propose a new approach to find different routes using
swarm intelligence techniques and multi colony algorithms. In the proposed
algorithm that is an improved version of MACO algorithm, we use different
colonies of ants and bees and appoint these colony members as intelligent
agents to monitor the network and update the routing information. The survey
includes comparison and critiques of MACO. The simulation results show a
tangible improvement in the aforementioned approach.
