Music Generation with Multiple Ant Colonies Interacting on Multilayer Graphs

被引：2

作者：

Rossello, Lluc Bono ^{[1
]}

Bersini, Hugues ^{[1
]}

机构：

[1] Univ Libre Bruxelles ULB, Brussels, Belgium

来源：

ARTIFICIAL INTELLIGENCE IN MUSIC, SOUND, ART AND DESIGN, EVOMUSART 2023 | 2023年 / 13988卷

关键词：

Ant colony optimization; Music generation; Multilayer graphs; Collective creativity; COMPLEX NETWORKS; OPTIMIZATION;

D O I：

10.1007/978-3-031-29956-8_3

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We propose a methodology for music generation that makes use of Ant Colony Optimization (ACO) algorithms on multilayer graphs. In our methodology we first define a new multilayer graph model of music that contains several voices musical works. Then, we adapt ACO algorithms to allow multiple ant colonies to generate solutions on each layer while interacting with each other. This methodology is illustrated with some example configurations that show howmusic emerge as a result of the interaction of different simultaneous ant colony optimization instances.

引用

页码：34 / 49

页数：16

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