Information Technology Reference
In-Depth Information
References
[1] Pham, D.T., Karaboga, D.: Intelligent Optimisation Techniques. Springer, London (2000)
[2] Zhan, Z.H., Li, J., Cao, J., Zhang, J., Chung, H., Shi, Y.H.: Multiple populations for
multiple objectives: A coevolutionary technique for solving multiobjective optimization
problems. IEEE Trans. Cybern. 43(2), 445-463 (2013)
[3] Shen, M., Zhan, Z.H., Chen, W.N., Gong, Y.J., Zhang, J., Li, Y.: Bi-velocity discrete
particle swarm optimization and its application to multicast routing problem in
communication networks. IEEE Trans. Ind. Electron 61(12), 7141-7151 (2014)
[4] Karaboga, D., Basturk, B.: A powerful and efficient algorithm for numerical function
optimization: artificial bee colony (ABC) algorithm. Journal of Global Optimization
39(3), 459-471 (2007)
[5] Ting, C.K., Lee, C.N., Chang, H.C., Wu, J.S.: Wireless heterogeneous transmitter
placement using multiobjective variable-length genetic algorithm. IEEE Trans. Systems,
Man, and Cybernetics-Part B: Cybernetics 39(4), 945-958 (2009)
[6] Li, Y.H., Zhan, Z.H., Lin, S., Zhang, J., Luo, X.N.: Competitive and cooperative particle
swarm optimization with information sharing mechanism for global optimization
problems. Information Sciences 239(1), 370-382 (2015)
[7] Zhang, C., Zhan, Z.H.: Comparisons of selection strategy in genetic algorithm. Computer
Engineering and Design 30(23), 5471-5478 (2009)
[8] Zhu, G.P., Kwong, S.: Gbest-guided artificial bee colony algorithm for numerical
function optimization. Applied Mathematics and Computing 217(7), 3166-3173 (2010)
[9] Gao, W.F., Liu, S.Y., Huang, L.L.: A novel artificial bee colony algorithm based on
modified search equation and orthogonal learning. IEEE Transaction on Cybernetics
43(3) (June 2013)
[10] Banharnsakun, A., Achalakul, T., Sirinaovakul, B.: The best-so-far selection in artificial
bee colony algorithm. Applied Soft Computing 11(2), 2888-2901 (2011)
[11] Karaboga, N.: A new design method based on artificial bee colony algorithm for digital
IIR filters. Journal of The Franklin Institute 346(4), 328-348 (2009)
[12] Singh, A.: An Artificial bee colony algorithm for the leaf-constrained minimum spanning
tree problem. Applied Soft Computing 9(2), 625-631 (2009)
[13] Rao, R.S., Narasimham, S., Ramalingaraju, M.: Optimization of distribution network
configuration for loss reduction using artificial bee colony algorithm. In: Proc.
International Conference on Advances in Mechanical Engineering, pp. 116-122 (2008)
[14] Pan, Q.K., Tasgetiren, M.F., Suganthan, P.N., Chua, T.J.: A discrete artificial bee colony
algorithm for the lot-streaming flow shop scheduling problem. Information Sciences
181(12), 2455-2468 (2011)
[15] Karaboga, D., Akay, B., Ozturk, C.: Artificial bee colony (ABC) optimization algorithm
for training feed-forward neural networks. In: Torra, V., Narukawa, Y., Yoshida, Y.
(eds.) MDAI 2007. LNCS (LNAI), vol. 4617, pp. 318-329. Springer, Heidelberg (2007)
 
Search WWH ::




Custom Search