Melody Harmonization with Genetic Algorithms - Generative Music AI Course

Implement a genetic algorithm in Python to automatically generate melody harmonizations. Dive into the intricacies of genetic algorithms applied to music composition, exploring concepts such as population initialization, parent selection, crossover, mutation, and fitness evaluation. Learn how to create a MelodyData class, develop a GeneticMelodyHarmonizer, and implement various fitness criteria including chord-melody congruence, chord variety, harmonic flow, and functional harmony. Follow along with code examples, gain insights into the main function's structure, and discover how to further explore and expand upon the provided code for advanced melody harmonization techniques.

Intro
Harmonization task
What we'll build
Get the code
Main function: First pass
Example generation
MelodyData
GeneticMelodyHarmonizer
Generate
Initialise population
Select parents
Create new population
Crossover
Mutate
FitnessEvaluator
Chord melody congruence
Chord variety
Harmonic flow
Functional harmony
Main function: Second pass
Exploring the code further...
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