Parameter Selection in Particle Swarm Optimization
EP '98 Proceedings of the 7th International Conference on Evolutionary Programming VII
An investigation into the merger of stochastic diffusion search and particle swarm optimisation
Proceedings of the 13th annual conference on Genetic and evolutionary computation
EuroGP'06 Proceedings of the 2006 international conference on Applications of Evolutionary Computing
Evolutionary methods for ant colony paintings
EC'05 Proceedings of the 3rd European conference on Applications of Evolutionary Computing
Playing in the pheromone playground: experiences in swarm painting
EC'05 Proceedings of the 3rd European conference on Applications of Evolutionary Computing
The particle swarm - explosion, stability, and convergence in amultidimensional complex space
IEEE Transactions on Evolutionary Computation
Swarmic paintings and colour attention
EvoMUSART'13 Proceedings of the Second international conference on Evolutionary and Biologically Inspired Music, Sound, Art and Design
Swarmic paintings and colour attention
EvoMUSART'13 Proceedings of the Second international conference on Evolutionary and Biologically Inspired Music, Sound, Art and Design
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This paper introduces a novel approach deploying the mechanism of 'attention' by adapting a swarm intelligence algorithm --- Stochastic Diffusion Search --- to selectively attend to detailed areas of a digital canvas. Once the attention of the swarm is drawn to a certain line within the canvas, the capability of another swarm intelligence algorithm --- Particle Swarm Intelligence --- is used to produce a 'swarmic sketch' of the attended line. The swarms move throughout the digital canvas in an attempt to satisfy their dynamic roles --- attention to areas with more details --- associated to them via their fitness function. Having associated the rendering process with the concepts of attention, the performance of the participating swarms creates a unique, non-identical sketch each time the 'artist' swarms embark on interpreting the input line drawings. The detailed investigation of the 'creativity' of such systems have been explored in our previous work; nonetheless, this papers provides a brief account of the 'computational creativity' of the work through two prerequisites of creativity within the swarm intelligence's two infamous phases of exploration and exploitation; these phases are described herein through the attention and tracing mechanisms respectively.