Optimization algorithms

Studies in Computational Intelligence

Volumn 356, Issue , 2011, Pages 13-31

  Yang, Xin She ^a  

^a NATIONAL PHYSICAL LABORATORY   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 79961038349     PISSN: 1860949X     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-642-20859-1_2     Document Type: Article

References (35)

1. Apostolopoulos, T., Vlachos, A.: Application of the Firefly Algorithm for Solving the Economic Emissions Load Dispatch Problem. International Journal of Combinatorics 2011 Article ID 523806 (2011), http://www.hindawi.com/journals/ ijct/2011/523806.html
2. Blum, C., Roli, A.: Metaheuristics in combinatorial optimization: Overview and concep-tural comparision. ACM Comput. Surv. 35, 268-308 (2003)
3. Cox, M.G., Forbes, A.B., Harris, P.M.: Discrete Modelling, SSfM Best Practice Guide No. 4, National Physical Laboratory, UK (2002)
4. Boyd, S.P., Vandenberghe, L.: Convex Optimization. Cambridge University Press, Cambridge (2004)
5. Celis, M., Dennis, J.E., Tapia, R.A.: A trust region strategy for nonlinear equality constrained optimization. In: Boggs, P., Byrd, R., Schnabel, R. (eds.) Numerical Optimization 1994, pp. 71-82. SIAM, Philadelphia (1994)
6. Conn, A.R., Gould, N.I.M., Toint, P.L.: Trust-region methods. SIAM&MPS (2000)
7. Dorigo, M., Stütle, T.: Ant Colony Optimization. MIT Press, Cambridge (2004)
8. Farmer, J.D., Packard, N., Perelson, A.: The immune system, adapation and machine learning. Physica D 2, 187-204 (1986)
9. Geem, Z.W., Kim, J.H., Loganathan, G.V.: A new heuristic optimization: Harmony search. Simulation 76, 60-68 (2001) (Pubitemid 32543074)
10. Gill, P.E., Murray, W., Wright, M.H.: Practical optimization. Academic Press Inc, London (1981)
11. Glover, F., Laguna, M.: Tabu Search. Kluwer Academic Publishers, Boston (1997)
12. Goldberg, D.E.: Genetic Algorithms in Search, Optimization and Machine Learning. Addison Wesley, Reading (1989)
13. Hestenes, M.R., Stiefel, E.: Methods of conjugate gradients for solving linear systems. Journal of Research of the National Bureaus of Standards 49(6), 409-436 (1952)
14. Holland, J.: Adaptation in Natural and Artificial Systems. University of Michigan Press, Ann Anbor (1975)
15. Kennedy, J., Eberhart, R.C.: Particle swarm optimization. In: Proc. of IEEE International Conference on Neural Networks, Piscataway, NJ, pp. 1942-1948 (1995)
16. Karmarkar, N.: A new polynomial-time algorithm for linear programming. Combinator-ica 4(4), 373-395 (1984)
17. Kirkpatrick, S., Gelatt, C.D., Vecchi, M.P.: Optimization by simulated annealing. Science 220(4598), 671-680 (1983)
18. Koziel, S., Yang, X.S.: Computational Optimization and Applications in Engineering and Industry. Springer, Germany (2011)
19. Nelder, J.A., Mead, R.: A simplex method for function optimization. Computer Journal 7, 308-313 (1965)
20. Matthews, C., Wright, L., Yang, X.S.: Sensitivity Analysis, Optimization, and Sampling Methodds Applied to Continous Models. National Physical Laboratory Report, UK (2009)
21. Pavlyukevich, I.: Lévy flights, non-local search and simulated annealing. J. Computational Physics 226, 1830-1844 (2007)
22. Powell, M.J.D.: A new algorithm for unconstrained optimization. In: Rosen, J.B., Man-gasarian, O.L., Ritter, K. (eds.) Nonlinear Programming, pp. 31-65 (1970)
23. Price, K., Storn, R., Lampinen, J.: Differential Evolution: A Practical Approach to Global Optimization. Springer, Heidelberg (2005)
24. Sayadi, M.K., Ramezanian, R., Ghaffari-Nasab, N.: A discrete firefly meta-heuristic with local search for makespan minimization in permutation flow shop scheduling problems. Int. J. of Industrial Engineering Computations 1, 1-10 (2010)
25. Storn, R.: On the usage of differential evolution for function optimization. In: Biennial Conference of the North American Fuzzy Information Processing Society (NAFIPS), pp. 519-523 (1996)
26. Storn, R., Price, K.: Differential evolution-a simple and efficient heuristic for global optimization over continuous spaces. Journal of Global Optimization 11, 341-359 (1997) (Pubitemid 127502202)
27. Talbi, E.G.: Metaheuristics: From Design to Implementation. John Wiley & Sons, Chich-ester (2009)
28. Yang, X.S.: Introduction to Computational Mathematics. World Scientific Publishing, Singapore (2008)
29. Yang, X.S.: Nature-Inspired Metaheuristic Algorithms, 1st edn. Lunver Press, UK (2008)
30. Yang, X.S.: Nature-Inspired Metaheuristic Algoirthms, 2nd edn. Luniver Press, UK (2010)
31. Yang, X.S.: Engineering Optimization: An Introduction with Metaheuristic Applications. John Wiley & Sons, Chichester (2010)
32. Yang, X.-S.: Firefly algorithms for multimodal optimization. In: Watanabe, O., Zeug-mann, T. (eds.) SAGA 2009. LNCS, vol. 5792, pp. 169-178. Springer, Heidelberg (2009)
33. Yang, X.-S.: A new metaheuristic bat-inspired algorithm. In: González, J.R., Pelta, D.A., Cruz, C., Terrazas, G., Krasnogor, N. (eds.) NICSO 2010. SCI, vol. 284, pp. 65-74. Springer, Heidelberg (2010)
34. Yang, X.S., Deb, S.: Cuckoo search via Lévy flights. In: Proc. of World Congress on Nature & Biologically Inspired Computing (NaBic 2009), pp. 210-214. IEEE Publications, USA (2009)
35. Yang, X.S., Deb, S.: Engineering optimization by cuckoo search. Int. J. Math. Modelling Num. Optimisation 1(4), 330-343 (2010)