Cooperation of Nature and Physiologically Inspired Mechanism in Visualisation

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al-Rifaie, Mohammad Majid; Aber, Ahmed and Bishop, Mark (J. M.). 2012. Cooperation of Nature and Physiologically Inspired Mechanism in Visualisation. In: Anna Ursyn, ed. Biologically-Inspired Computing for the Arts: Scientific Data through Graphics. USA: IGI Global, pp. 31-58. ISBN 978-1-466-60942-6 [Book Section]

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Official URL: http://www.igi-global.com/chapter/biologically-ins...

Abstract or Description

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). We also discuss whether or not the ‘art works’ generated by nature and biologically inspired algorithms can possibly be considered as ‘computationally creative’.

Item Type:

Book Section

Identification Number (DOI):

https://doi.org/10.4018/978-1-4666-0942-6.ch003

Keywords:

Stochastic Diffusion Search, Particle Swarm Optimisation, Swarm Intelligence, Blood Vessel Remodelling, Visualisation, Optimization, Metaheuristics, Swarm Regulated Freedom, Gaussian Constrained Freedom

Departments, Centres and Research Units:

Art
Computing

Dates: