Hybrid Genetic Algorithm Based on Gene Fragment Competition for Polyphonic Music Transcription

• Tipo: Artigo em Revista Científica Internacional
• Data: 2008

Autores

Gustavo Reis (Autor) Outra; Nuno Fonseca (Autor) FEUP; Francisco Fernández de Vega (Autor) Outra; Aníbal Ferreira (Autor) FEUP

Revista

Título: Lecture Notes in Computer Science

Vol. 4974

Páginas: 305-314

ISSN: 0302-9743

Editora: Springer Nature

Indexação

ISI Web of Knowledge - 4 Citações

ISI Web of Science

Scopus - 8 Citações

INSPEC

COMPENDEX

Classificação Científica

FOS: Ciências da engenharia e tecnologias > Engenharia electrotécnica, electrónica e informática

Outras Informações

ID Authenticus: P-004-2JJ

DOI: 10.1007/978-3-540-78761-7_31

Abstract (EN): This paper presents the Gene Fragment Competition concept that can be used with Hybrid Genetic Algorithms specially in signal and image processing. Memetic Algorithms have shown great success in real-life problems by adding local search operators to improve the quality of the already achieved “good” solutions during the evolutionary process. Nevertheless these traditional local search operators don’t perform well in highly demanding evaluation processes. This stresses the need for a new semi-local non-exhaustive method. Our proposed approach sits as a tradeoff between classical Genetic Algorithms and traditional Memetic Algorithms, performing a quasi-global/quasi-local search by means of gene fragment evaluation and selection. The applicability of this hybrid Genetic Algorithm to the signal processing problem of Polyphonic Music Transcription is shown. The results obtained show the feasibility of the approach.

Idioma: Inglês

Tipo (Avaliação Docente): Científica