An optimization algorithm inspired by musical composition

  • Authors:
  • Roman Anselmo Mora-Gutiérrez;Javier Ramírez-Rodríguez;Eric Alfredo Rincón-García

  • Affiliations:
  • Posgrado de Ingeniería, Universidad Nacional Autónoma de México, México, Mexico C.P. 04360;Departamento de Sistemas, Universidad Autónoma Metropolitana, México, Mexico C. P. 02200;Departamento de Sistemas, Universidad Autónoma Metropolitana, México, Mexico C. P. 02200

  • Venue:
  • Artificial Intelligence Review
  • Year:
  • 2014

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Abstract

In this paper we propose a new multiagent metaheuristic based in an artificial society that uses a dynamic creative system to compose music, called "Method of musical composition" or MMC. To show the performance of our proposed MMC algorithm, 13 benchmark continuous optimization problems and the related results are compared with harmony search, improved harmony search, global-best harmony search and self-adaptative harmony search. The experimental results demonstrate that MMC improves the results obtained by the other metaheuristics in a set of multi-modal functions.