Organised Sound
Population structure and particle swarm performance
CEC '02 Proceedings of the Evolutionary Computation on 2002. CEC '02. Proceedings of the 2002 Congress - Volume 02
Population structure and particle swarm performance
CEC '02 Proceedings of the Evolutionary Computation on 2002. CEC '02. Proceedings of the 2002 Congress - Volume 02
AtomSwarm: a framework for swarm improvisation
Evo'08 Proceedings of the 2008 conference on Applications of evolutionary computing
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High-dimensional optimization problems may be addressed using populational meta-heuristics, whose statistical properties may indicate important characteristics of the optimization process. There is a great number of these properties, which means their joint visualization may become impractical. We developed a method for sonically displaying characteristics of population dynamics in particle swarm optimization processes as soundscape parameters. This process allows jointly analyzing several dimensions of the population's dynamics. Moreover, design decisions aimed at generating aesthetically appealing soundscapes, which allows the proposed system to be used as an automated music composition environment.