Journal of Applied Sciences1812-56541812-5662Asian Network for Scientific Information10.3923/jas.2009.983.987RahmatizadehSh. Shah-HosseiniH. TorkamanH. 5200995In this study, a new agent-based routing algorithm that
are based on both ant and bee colony optimization algorithms is proposed
and named as the Ant-Bee Routing (ABR) algorithm. In the proposed algorithm,
the initial AntNet Routing (ANR) algorithm is modified where some intelligent
features of bees are included to enhance the performance of the ANR algorithm.
Experiments with the ABR algorithm are implemented using the OMNET++ software
platform by means of NTTNET network topology. Results showed that the
performance of ABR algorithm is much better than the ANR algorithm with
reduction in packets delay. The ABR is also suitable in dynamic environments.]]>DiCaro, G. and M. Dorigo,19971997Di Caro, G. and M. Dorigo,19989317365Dorigo, M., G. DiCaro and L.M. Gambardella,19995137172Karaboga, D. and B. Basturk,20072007pp: 789798Kassabalidis, I., M.A. El-Sharkawi, R.J. Marks, P. Arabshahi and A.A. Gray,20012001pp: 36133617Kurose, J.F. and W. Keith-Ross,20053rd Edn.,Rahmatizadeh, Sh. and H. Shah-Hosseini,20082008pp: 1Schoonderwoerd, R., O. Holland, J. Bruten and L. Rothkrantz,19965169207Schoonderwoerd, R., O. Holland and J. Bruten,19971997pp: 209216Teodorovic, D., P. Lucic, G. Markovic and M. Dell’Orco,20062006pp: 151156Yang, X.,20053562317323