Readings in information visualization: using vision to think
Readings in information visualization: using vision to think
Illustrating evolutionary computation with Mathematica
Illustrating evolutionary computation with Mathematica
INFOVIS '97 Proceedings of the 1997 IEEE Symposium on Information Visualization (InfoVis '97)
GAVEL - a new tool for genetic algorithm visualization
IEEE Transactions on Evolutionary Computation
dPSO-vis: topology-based visualization of discrete particle swarm optimization
EuroVis '13 Proceedings of the 15th Eurographics Conference on Visualization
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The way we perform evolutionary experiments is all influenced by visualizing multi-dimensional solutions, analyzing the extent to which the search space is explored, displaying the gross population statistics, determining clustering and building blocks, and finding successful combinations of parameter values. Through visualization we can gain valuable insights to enhance our knowledge about particle swarm optimizers, in particular, and the search space that is being explored. In this paper, we focus on different visualization techniques for particle swarm systems. We investigate the advantages of a range of graphical data representation methods by example of the two- and four-dimensional sphere function, the two-dimensional simplified foxholes function, and a 56-dimensional real-world example in the context of muscle stimulus patterns.