[1]
Dr. R. Anitha M. Subha, An Emerging Ant Colony Optimization Routing Algorithm (Acora) For Manets, Journal of Computer Applications, Vol-II, No. 3, July-Sep (2009).
Google Scholar
[2]
Brijesh Bhatt Vasundhara Uchhula, Comparison of different Ant Colony Based Routing, IJCA Special Issue on MANETs, (2010).
Google Scholar
[3]
Ku Ruhana Ku-Mahamud Alaa Aljanaby, An Exploration Technique for the Interacted Multiple Ant Colonies Optimization Framework, International Conference on Intelligent Systems, Modelling and Simulation, (2010).
DOI: 10.1109/isms.2010.28
Google Scholar
[4]
A. Schulter, C. Westphall, Intrusion Detection Techniques in Grid and Cloud Computing Environment,. IT Professional , Sep. (2009).
Google Scholar
[5]
R. S. Chang, J. S. Chang, P. S. Lin. An ant algorithm for balanced job scheduling in grids. Future Generation Computer System, 2009, 25(1): 20–27.
DOI: 10.1016/j.future.2008.06.004
Google Scholar
[6]
F. Chicano, E. Alba. Ant colony optimization with partial order reduction for discovering safety property violations in concurrent models. Information Processing Letters, 2008, 106(7): 221–231.
DOI: 10.1016/j.ipl.2007.11.015
Google Scholar
[7]
S. U. Seckiner, M. Kurt. Ant colony optimization for the job rotation scheduling problem. Applied Mathematics and Computation, 2008, 201(1/2): 149–160.
DOI: 10.1016/j.amc.2007.12.006
Google Scholar
[8]
X.Y. Yang B.X. Chen F.L. Qi. High-resolution algorithm based on temporal-spatial extrapolation.Journal of Systems Engineering and Electronics, 2010, 2l(1): 9-15.
Google Scholar
[9]
C. E Juang P.H. Chang. Designing fuzzy-rule-based systems using continuous ant-colony optimization.IEEE Trans. on Fuzzy Systems, 2010, 18(1): 138~149.
DOI: 10.1109/tfuzz.2009.2038150
Google Scholar
[10]
Tavares J, Pereira F B. Designing Pheromone Update Strategies with Strongly Typed Genetic Programming[J]. Lecture Notes in Computer Science, 2011, 662l: 85-96.
DOI: 10.1007/978-3-642-20407-4_8
Google Scholar