Cooperation of Nature and Physiologically Inspired Mechanisms in Visualisation

Cooperation of Nature and Physiologically Inspired Mechanisms in Visualisation

Mohammad Majid al-Rifaie (Goldsmiths, University of London, UK), Ahmed Aber (The Royal Free Hospital, London, UK) and John Mark Bishop (Goldsmiths, University of London, UK)
DOI: 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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Background

After a brief introduction to communication in social systems, this section introduces two swarm intelligence algorithms as well as their integration strategy, followed by the simplified mechanism of blood vessel and blood flow.

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