Editing Algorithmic composition (section)

===Optimization approaches===
When generating well defined styles, music can be seen as a combinatorial optimization problem, whereby the aim is to find the right combination of notes such that the objective function is minimized. This objective function typically contains rules of a particular style, but could be learned using machine learning methods such as Markov models.<ref>{{cite journal |author1=[[Dorien Herremans|Herremans, D.]]|author2=Weisser, S. |author3=Sörensen, K. |author4=Conklin, D. |title=Generating structured music for bagana using quality metrics based on Markov models |journal=Expert Systems with Applications |date=2015 |volume=42 |issue=21 |pages=7424–7435 |url=https://repository.uantwerpen.be/docman/irua/f18aa4/13ae3a29.pdf|doi=10.1016/j.eswa.2015.05.043 |hdl=10067/1274260151162165141 |hdl-access=free }}</ref> Researchers have generated music using a myriad of different optimization methods, including integer programming,<ref>{{cite journal |author1=Cunha, Nailson dos Santos |author2=Anand Subramanian |author3=[[Dorien Herremans]]|title=Generating guitar solos by integer programming |journal=[[Journal of the Operational Research Society]]|date=2018 |volume=69 |issue=6 |pages=971–985 |url=http://www.dorienherremans.com/sites/default/files/preprint_guitar_solo_generation_dh.pdf|doi=10.1080/01605682.2017.1390528 |s2cid=51888815 }}</ref> variable neighbourhood search,<ref>{{cite journal |author1=[[Dorien Herremans|Herremans, D.]]|author2=Sörensen, K. |title=Composing fifth species counterpoint music with a variable neighborhood search algorithm |journal=Expert Systems with Applications |date=2013 |volume=40 |issue=16 |pages=6427–6437 |url=https://repository.uantwerpen.be/docman/irua/93e44d/cff18030.pdf|doi=10.1016/j.eswa.2013.05.071 }}</ref> and evolutionary methods as mentioned in the next subsection.