Information Flocking Applied to Genetic Programming Visualization

Created by W.Langdon from gp-bibliography.bib Revision:1.7615

@Misc{IAT814_MACRET,

• author = "Matthieu Macret",
• title = "Information Flocking Applied to Genetic Programming Visualization",
• keywords = "genetic algorithms, genetic programming, Information Interfaces and Presentation, Distributed Artificial Intelligence, time-varying information visualisation, ALife, artificial life, motion, boids",
• URL = "https://matthieumacret.com/pdf/IAT814_MACRET.pdf",
• size = "8 pages",
• abstract = "Genetic programming is an evolutionary technique used in optimisation problem. Its dynamic nature makes it difficult to visualise. Indeed, hundred of candidate solutions are evolved per generation. There could be relationships between these candidate solutions. Phenomenon such as code growth (bloat) can also happen. Information flocking uses the emergence of motion to visualize the dynamics of varying datasets. It makes possible to observe the data at different levels. we apply information flocking techniques to genetic programming visualization and intend to demonstrate its qualities.",
• notes = "School of Interactive Arts and Technology, Simon Fraser University, Surrey,B.C., Canada V3T 0A3",

}

Genetic Programming entries for Matthieu Macret

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