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An optimization algorithm inspired by musical composition
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AI
DOI：10.1007/s10462-011-9309-8.png)
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Abstract
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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.
Keywords:
Global optimization
Metaheuristics
Social algorithms
System socio-cultural of creativity
Composition musical
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