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Including Modal Improvisation and Music-Inspired Components to Improve Harmony Search

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Abstract

In this paper we present new components to be included in harmony search algorithms. These components are inspired from music improvisation. The Modal improvisation uses musical modes rather than chord progressions as a harmonic framework. We also include the notion of tone scales that allows the algorithm to visit different parts of the search space. We evaluate our approach solving instances of the Multidimensional Knapsack Problem instances. We compare our results with those obtained by the former harmony search algorithm, and with the well-known state-of-the-art results.

This work is partially supported by FONDECYT Project 1120781 and Centro Científico Tecnológico de Valparaíso (CCT-Val) FB0821.

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References

  1. Geem, Z.W., Kim, J.H., Loganathan, G.: A new heuristic optimization algorithm: harmony search. Simulation 76(2), 60–68 (2001)

    Article  Google Scholar 

  2. Geem, Z.W. (ed.): Music-Inspired Harmony Search Algorithm. Studies in Computational Intelligence, vol. 191. Springer, Heidelberg (2009)

    Google Scholar 

  3. Riff, M.C., Montero, E.: A new algorithm for reducing metaheuristic design effort. In: Proceedings of the IEEE Congress on Evolutionary Computation (CEC 2013), pp. 3283–3290 (2013)

    Google Scholar 

  4. Yang, X.-S.: Harmony search as a metaheuristic algorithm. In: Geem, Z.W. (ed.) Music-Inspired Harmony Search Algorithm. Studies in Computational Intelligence, vol. 191, pp. 1–14. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  5. Lee, K.S., Geem, Z.W.: A new meta-heuristic algorithm for continuous engineering optimization: harmony search theory and practice. Computer Methods in Applied Mechanics and Engineering 194(36), 3902–3933 (2005)

    Article  MATH  Google Scholar 

  6. Wang, L., Yang, R., Xu, Y., Niu, Q., Pardalos, P.M., Fei, M.: An improved adaptive binary harmony search algorithm. Information Sciences 232, 58–87 (2013)

    Article  MathSciNet  Google Scholar 

  7. Wang, L., Xu, Y., Mao, Y., Fei, M.: A discrete harmony search algorithm. In: Li, K., Li, X., Ma, S., Irwin, G.W. (eds.) LSMS 2010. CCIS, vol. 98, pp. 37–43. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  8. Alia, O., Mandava, R.: The variants of the harmony search algorithm: an overview. Artificial Intelligence Review 36(1), 49–68 (2011)

    Article  Google Scholar 

  9. Monson, I.: Oh freedom: George russell, john coltrane, and modal jazz. The Course of Performance: Studies in the World of Musical Improvisation, 149–68 (1998)

    Google Scholar 

  10. Pease, F., Mattingly, R.: Jazz composition: theory and practice. Berklee Press (2003)

    Google Scholar 

  11. Rossi-Doria, O., et al.: A Comparison of the Performance of Different Metaheuristics on the Timetabling Problem. In: Burke, E.K., De Causmaecker, P. (eds.) PATAT 2002. LNCS, vol. 2740, pp. 329–351. Springer, Heidelberg (2003)

    Chapter  Google Scholar 

  12. Bartz-Beielstein, T.: Experimental research in evolutionary computation. Springer, Berlin (2006)

    MATH  Google Scholar 

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Rojas, N., Riff, MC. (2013). Including Modal Improvisation and Music-Inspired Components to Improve Harmony Search. In: Castro, F., Gelbukh, A., González, M. (eds) Advances in Soft Computing and Its Applications. MICAI 2013. Lecture Notes in Computer Science(), vol 8266. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-45111-9_9

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  • DOI: https://doi.org/10.1007/978-3-642-45111-9_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-45110-2

  • Online ISBN: 978-3-642-45111-9

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