Generative Music Composition Software Systems Using Biologically Inspired Algorithms: A sytematic Literature Review

Abstract

My original contribution to knowledge is to examine existing work for methods and approaches used, main functionalities, benefits and limitations of 30 Generative Music Composition Software Systems (GMCSS) by performing a systematic literature review. GMCSS are created by using biologically inspired algorithms. While analyzing methods and approaches of 30 software systems, biologically inspired methods, types of GMCSS, and programming languages and environments are considered. Moreover, main functionalities, benefits and limitations of 30 software systems are explained in detail. The systematic literature review revealed that using biologically inspired algorithms for GMCSS is still immature. This systematic review is based on 30 articles, journals, and conference proceedings specified after a multistage selection process.