Abstract
This paper presents principled results demonstrating how the identification and exploitation of variable dependencies by means of Artificial Neural Network powered online model building, combined with a model based local-search, opens the way towards large-scale optimization of hard, non-separable building-block problems.
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Sastry, K., Goldberg, D.E., Llora, X.: Towards billion-bit optimization via a parallel estimation of distribution algorithm. In: GECCO 2007: Proceedings of the 9th annual conference on Genetic and evolutionary computation, pp. 577–584. ACM, New York (2007)
Yu, T.L., Sastry, K., Goldberg, D.E., Pelikan, M.: Population sizing for entropy-based model building in discrete estimation of distribution algorithms. In: Lipson, H. (ed.) GECCO, pp. 601–608. ACM, New York (2007)
Pelikan, M., Goldberg, D.E., Cantú-Paz, E.: Bayesian optimization algorithm, population sizing, and time to convergence. In: Whitley, L.D., Goldberg, D.E., Cantú-Paz, E., Spector, L., Parmee, I.C., Beyer, H.G. (eds.) GECCO, pp. 275–282. Morgan Kaufmann, San Francisco (2000)
Iclanzan, D., Dumitrescu, D.: Overcoming hierarchical difficulty by hill-climbing the building block structure. In: Thierens, D., et al. (eds.) GECCO 2007: Proceedings of the 9th annual conference on Genetic and Evolutionary Computation, vol. 2, pp. 1256–1263. ACM Press, London (2007)
Watson, R.A., Hornby, G., Pollack, J.B.: Modeling building-block interdependency. In: Eiben, A.E., Bäck, T., Schoenauer, M., Schwefel, H.-P. (eds.) PPSN V 1998. LNCS, vol. 1498, pp. 97–108. Springer, Heidelberg (1998)
Watson, R.A., Pollack, J.B.: Hierarchically consistent test problems for genetic algorithms: Summary and additional results. In: Brave, S. (ed.) GECCO 1999: Late Breaking Papers, Orlando, Florida, USA, July 13, 1999, pp. 292–297 (1999)
Pelikan, M., Goldberg, D.E.: Escaping hierarchical traps with competent genetic algorithms. In: Spectes, L., et al. (eds.) GECCO 2001, pp. 511–518. Morgan Kaufmann, San Francisco (2001)
Sastry, K., Goldberg, D.E.: Designing competent mutation operators via probabilistic model building of neighborhoods. In: Deb, K., et al. (eds.) GECCO 2004. LNCS, vol. 3103, pp. 114–125. Springer, Heidelberg (2004)
Jones, T.: Evolutionary Algorithms, Fitness Landscapes and Search. PhD thesis, University of New Mexico, Albuquerque, NM (1995)
Iclanzan, D., Dumitrescu, D.: Going for the big fishes: Discovering and combining large neutral and massively multimodal building-blocks with model based macro-mutation. In: GECCO 2008: Proceedings of the 10th annual conference on Genetic and Evolutionary Computation. ACM Press, New York (accepted, 2008)
Kohonen, T.: Self-organized formation of topologically correct feature maps. Biological Cybernetics 43, 59–69 (1982)
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Iclănzan, D., Dumitrescu, D. (2008). Large-Scale Optimization of Non-separable Building-Block Problems. In: Rudolph, G., Jansen, T., Beume, N., Lucas, S., Poloni, C. (eds) Parallel Problem Solving from Nature – PPSN X. PPSN 2008. Lecture Notes in Computer Science, vol 5199. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87700-4_89
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DOI: https://doi.org/10.1007/978-3-540-87700-4_89
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