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Cooperation of Nature and Physiologically Inspired Mechanisms in Visualisation

Cooperation of Nature and Physiologically Inspired Mechanisms in Visualisation

Mohammad Majid al-Rifaie, Ahmed Aber, John Mark Bishop
Copyright: © 2012 |Pages: 28
ISBN13: 9781466609426|ISBN10: 1466609427|EISBN13: 9781466609433
DOI: 10.4018/978-1-4666-0942-6.ch003
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MLA

al-Rifaie, Mohammad Majid, et al. "Cooperation of Nature and Physiologically Inspired Mechanisms in Visualisation." Biologically-Inspired Computing for the Arts: Scientific Data through Graphics, edited by Anna Ursyn, IGI Global, 2012, pp. 31-58. https://doi.org/10.4018/978-1-4666-0942-6.ch003

APA

al-Rifaie, M. M., Aber, A., & Bishop, J. M. (2012). Cooperation of Nature and Physiologically Inspired Mechanisms in Visualisation. In A. Ursyn (Ed.), Biologically-Inspired Computing for the Arts: Scientific Data through Graphics (pp. 31-58). IGI Global. https://doi.org/10.4018/978-1-4666-0942-6.ch003

Chicago

al-Rifaie, Mohammad Majid, Ahmed Aber, and John Mark Bishop. "Cooperation of Nature and Physiologically Inspired Mechanisms in Visualisation." In Biologically-Inspired Computing for the Arts: Scientific Data through Graphics, edited by Anna Ursyn, 31-58. Hershey, PA: IGI Global, 2012. https://doi.org/10.4018/978-1-4666-0942-6.ch003

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Abstract

A novel approach of integrating two swarm intelligence algorithms is considered, one simulating the behaviour of birds flocking (Particle Swarm Optimisation) and the other one (Stochastic Diffusion Search) mimics the recruitment behaviour of one species of ants – Leptothorax acervorum. This hybrid algorithm is assisted by a biological mechanism inspired by the behaviour of blood flow and cells in blood vessels, where the concept of high and low blood pressure is utilised. The performance of the nature-inspired algorithms and the biologically inspired mechanisms in the hybrid algorithm is reflected through a cooperative attempt to make a drawing on the canvas. The scientific value of the marriage between the two swarm intelligence algorithms is currently being investigated thoroughly on many benchmarks, and the results reported suggest a promising prospect (al-Rifaie, Bishop & Blackwell, 2011). It may also be discussed whether or not the artworks generated by nature and biologically inspired algorithms can possibly be considered as computationally creative.

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