Paper Info
Title
Composing fifth species counterpoint music with a variable neighborhood search algorithm
Abstract
In this paper, a variable neighborhood search (VNS) algorithm is developed and analyzed that can generate fifth species counterpoint fragments. The existing species counterpoint rules are quantified and form the basis of the objective function used by the algorithm. The VNS developed in this research is a local search metaheuristic that starts from a randomly generated fragment and gradually improves this solution by changing one or two notes at a time. An in-depth statistical analysis reveals the significance as well as the optimal settings of the parameters of the VNS. The algorithm has been implemented in a user-friendly software environment called Optimuse. Optimuse allows a user to input basic characteristics such as length, key and mode. Based on this input, a fifth species counterpoint fragment is generated by the system that can be edited and played back immediately.
Year
DOI
Venue
2013
10.1016/j.eswa.2013.05.071
Expert Syst. Appl.
Keywords
Field
DocType
species counterpoint fragment,local search metaheuristic,species counterpoint music,in-depth statistical analysis,objective function,input basic characteristic,optimal setting,variable neighborhood search algorithm,variable neighborhood search,user-friendly software environment,existing species counterpoint rule,combinatorial optimization,metaheuristics
Variable neighborhood search,Computer science,Algorithm,Combinatorial optimization,Software,Artificial intelligence,Local search (optimization),Counterpoint,Machine learning,Statistical analysis,Metaheuristic
Journal
Volume
Issue
ISSN
40
16
0957-4174
Citations 
PageRank 
References 
8
0.50
21
Authors
2
Name
Order
Citations
PageRank
D. Herremans180.50
Kenneth Sörensen217519.42