1. Ahmed, H., Glasgow, J.: Swarm Intelligence: Concepts, Models and Applications. School of Computing, Queens University Technical Report (2012)
2. Bakhouya, M., Gaber, J.: An immune inspired-based optimization algorithm: application to the traveling salesman problem. Adv. Model. Optim. 9(1), 105–116 (2007)
3. Bela, M., Gaber, J., El-Sayed, H., Almojel, A.: Swarm Intelligence. In: Handbook of Bio-inspired Algorithms and Applications, CRC Computer & Information Science, vol. 7. Chapman & Hall (2006)
4. Benala, T.R., Villa, S.H., Jampala, S.D., Konathala, B.: A novel approach to image edge enhancement using artificial bee colony optimization algorithm for Hybridized Smoothening Filters. In: World Congress on Nature & Biologically Inspired Computing, pp. 1071–1076. IEEE (2009
5. Bonabeau, E., Meyer, C.: Swarm intelligence: a whole new way to think about business. Harv. Bus. Rev. 79(5), 105–115 (2001)