Evolutionary design of dynamic SwarmScapes

  • Authors:
  • Namrata Khemka;Scott Novakowski;Gerald Hushlak;Christian Jacob

  • Affiliations:
  • University of Calgary, Calgary, AB, Canada;University of Calgary, Calgary, AB, Canada;University of Calgary, Calgary, AB, Canada;University of Calgary, Calgary, AB, Canada

  • Venue:
  • Proceedings of the 10th annual conference on Genetic and evolutionary computation
  • Year:
  • 2008

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Abstract

This paper discusses interactive evolutionary algorithms and their application in swarm-based image generation. From an artist's perspective, the computer-generated patterns offer departure points for creative "Imagineering." Input into our evolutionary system comprises of ninety-six parameters that influence the behavior of swarm agents to create emerging "SwarmScapes" over time. This paper demonstrates how an evolutionary approach is used to create swarm-based animations, which at any point in time can be turned into electronic paintings and into high-resolution plots on canvas. As our team consists of three computer scientists and an artist, we also explore the collaborative relationships among the team members, and between the artist and the evolutionary system.