Intelligent optimisation

Authors & references

Authors:

Professor Emeritus Kauko Leiviskä, University of Oulu

References:

1. Goldberg, D.E. 1989. Genetic algorithm in search, optimization and machine learning, New York Addison-Wesley. 432 p.
2. Mitchell, M. 1998. Introduction to genetic algorithms. The MIT Press, 221 p.
3. Price, K., Storn, R.M. and Lampinen, J.A. 2005. Differential Evolution: A Practical Approach to Global Optimization, Springer.
4. Wikipedia contributors. Swarm intelligence. Wikipedia, The Free Encyclopedia. February 26, 2020, [Online] Available at: http://en.wikipedia.org/wiki/Swarm_intelligence [Accessed 9^th March 2020]. Note! A good literature survey.
5. Kennedy, J. and Eberhart, R. 1995. Particle Swarm Optimization. Proceedings of IEEE International Conference on Neural Networks. IV. pp. 1942–1948.
6. Zhang, Y. 2015. A Comprehensive Survey on Particle Swarm Optimization Algorithm and Its Applications. Mathematical Problems in Engineering 2015: 931256.
7. Dorigo, M. and Stützle, T. 2004. Ant Colony Optimization. MIT Press.
8. Pham, D.T., Ghanbarzadeh, A., Koc, E., Otri, S., Rahim, S. and Zaidi, M. T2005. The Bees Algorithm. Technical Note, Manufacturing Engineering Centre, Cardiff University, UK.
9. Pham, D.T. and Castellani, M. 2015. A comparative study of the bees algorithm as a tool for function optimization. Cogent Engineering 2(1): 1091540.
10. Yang, X. S. 2008. Nature-Inspired Metaheuristic Algorithms. Luniver Press. ISBN 978-1-905986-10-1.
11. Yang; X.-S. and Deb, S. 2009. Cuckoo search via Lévy flights. World Congress on Nature & Biologically Inspired Computing (NaBIC 2009). IEEE Publications. 210–214.
12. Müller, S. D., Marchetto, J., Airaghi S. and Koumoutsakos, P. 2002. Optimization Based on Bacterial Chemotaxis, IEEE Transactions on Evolutionary Computation 6(1):16–29.
13. Passino, K. M. 2002. Biomimicry of bacterial foraging for distributed optimization and control, IEEE Control Systems Magazine 22(3):52–67.
14. Mirjalili. S.A. and Mirjalili, S.M. and Lewis. A. 2014. Grey Wolf Optimizer. Advances in Engineering Software 69:46––61.
15. Mirjalili, S., and Lewis, A. 2016. The whale optimization algorithm. Advances in Engineering Software 95:51–67.
16. de Castro, L. N. and Timmis, J. 2002. Artificial Immune Systems: A New Computational Intelligence Approach. Springer.