This paper describes our method, submitted to MIREX 2008 task "Multiple Fundamental Frequency Estimation & Tracking". This task restricted the problem of Multiple F0 Estimation and Tracking to three cases: i) Estimate active fundamental frequencies on a frame-by-frame basis; ii) Track note contours on a continuous time basis (as in audio-tomidi); iii) Track timbre on a continuous time basis. The presented method is the first genetic algorithm approach to multi-timbral music transcription and is based on a previously published genetic algorithm approach for automatic music transcription originally designed to transcribe piano songs. This algorithm was adopted to support different timbres.

This paper presents a novel approach to the problem of automatic music transcription using electronic synthesis with genetic algorithms. Although the problem is well known and different techniques have been applied before, evolutionary algorithms have never been considered when addressing this problem. By means of a series of steps, we show that a polyphonic MIDI file -containing instrument's partiturescan be automatically generated from an audio recording, by extracting and separating simultaneous notes. The results obtained shows the feasibility of the approach.

Developing artificial behaviours to control artificial creatures or vehicles is a task that can be solved by means of Evolutionary Algorithms. The Predator and Prey is a problem where it is possible to evolve behaviours for both predator and prey, using artificial co-evolution: the predator must capture the prey and the prey must evade the predator. Both predator and prey have also different characteristics, the predator is faster and more agile and the prey is slower. This paper presents an alternative, using Genetic Programming with Decision Trees for evolving both Predator and Prey behaviours. The results obtained shows the feasibility of the approach.

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