التفاصيل البيبلوغرافية
| العنوان: |
T-GEN: A Tabu Search Based Genetic Algorithm for the Automatic Playlist Generation Problem. |
| المؤلفون: |
Antony, Sneha, Jayarajan, J.N. |
| المصدر: |
Procedia Computer Science; 2015, Vol. 46, p409-416, 8p |
| مصطلحات موضوعية: |
GENETIC algorithms, EVOLUTIONARY computation, EVOLUTIONARY algorithms, PARTICLE swarm optimization, SWARM intelligence |
| مستخلص: |
Genetic algorithm is a promising technique for generating automatically, sequences of music that satisfy arbitrary user criteria. But this has a disadvantage of selecting clones of the individuals as parents for the next generation. The outcome being poor diversity, affects the final output as genetic diversity serves as an avenue for population to adapt to the steadily changing environment. The proposed method T-GEN, incorporates tabu search in the selection procedure. This enhances diversity and thereby improves the output by giving fitter individuals in the final generation. We describe the concrete implementation of the method which is supported by experimental analysis. [ABSTRACT FROM AUTHOR] |
|
Copyright of Procedia Computer Science is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| قاعدة البيانات: |
Supplemental Index |
Full Text Finder