Aho, A., Hopcroft, J., Ullman, J.: Data structures and algorithms. Addison-Wesley, Reading (1983)
MATH
Google Scholar
Blum, C.: Beam-ACO–hybridizing ant colony optimization with beam search: an application to open shop scheduling. Computers and Operations Research 32, 1565–1591 (2005)
CrossRef
Google Scholar
Blum, C., Bautista, J., Pereira, J.: Beam-ACO applied to assembly line balancing. In: Dorigo, M., Di Caro, G.A., Sampels, M. (eds.) ANTS 2002. LNCS, vol. 2463, pp. 14–27. Springer, Heidelberg (2002)
Google Scholar
Blum, C., Cotta, C., Fernández, A.J., Gallardo, J.E.: A probabilistic beam search algorithm for the shortest common supersequence problem. In: Cotta, C., van Hemert, J.I. (eds.) EvoCOP 2007. LNCS, vol. 4446, pp. 36–47. Springer, Berlin (2007)
Google Scholar
Blum, C., Dorigo, M.: The hyper-cube framework for ant colony optimization. IEEE Transactions on Systems, Man, and Cybernetics – Part B 34(2), 1161–1172 (2004)
CrossRef
Google Scholar
Dorigo, M., Stuetzle, T.: Ant Colony Optimization. MIT Press, Cambridge (2004)
MATH
Google Scholar
Feo, T.A., Resende, M.G.C.: Greedy randomized adaptive search procedures. Journal of Global Optimization 6, 109–133 (1995)
MATH
CrossRef
MathSciNet
Google Scholar
Fraser, C.B.: Subsequences and supersequences of strings. PhD thesis, University of Glasgow (1995)
Google Scholar
Gusfield, D.: Algorithms on Strings, Trees, and Sequences. In: Computer Science and Computational Biology, Cambridge University Press, Cambridge (1997)
Google Scholar
Huang, K., Yang, C., Tseng, K.: Fast algorithms for finding the common subsequences of multiple sequences. In: Proceedings of the International Computer Symposium, pp. 1006–1011. IEEE Computer Society Press, Los Alamitos (2004)
Google Scholar
Maier, D.: The complexity of some problems on subsequences and supersequences. Journal of the ACM 25, 322–336 (1978)
MATH
CrossRef
MathSciNet
Google Scholar
Maniezzo, V.: Exact and Approximate Nondeterministic Tree-Search Procedures for the Quadratic Assignment Problem. INFORMS Journal on Computing 11(4), 358–369 (1999)
MATH
MathSciNet
CrossRef
Google Scholar
Maniezzo, V., Carbonaro, A.: An ANTS heuristic for the frequency assignment problem. Future Generation Computer Systems 16, 927–935 (2000)
CrossRef
Google Scholar
Maniezzo, V., Milandri, M.: An ant-based framework for very strongly constrained problems. In: Dorigo, M., Di Caro, G.A., Sampels, M. (eds.) Ant Algorithms. LNCS, vol. 2463, pp. 222–227. Springer, Heidelberg (2002)
CrossRef
Google Scholar
Ow, P.S., Morton, T.E.: Filtered beam search in scheduling. International Journal of Production Research 26, 297–307 (1988)
CrossRef
Google Scholar
Smith, T., Waterman, M.: Identification of common molecular subsequences. Journal of Molecular Biology 147(1), 195–197 (1981)
CrossRef
Google Scholar