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ICTAI
2005
IEEE
14 years 2 months ago
Cellular Ants: Combining Ant-Based Clustering with Cellular Automata
This paper proposes a novel data clustering algorithm, coined ‘cellular ants’, which combines principles of cellular automata and ant colony optimization algorithms to group s...
Andrew Vande Moere, Justin James Clayden
HIS
2004
13 years 10 months ago
A Fuzzy Clustering Algorithm using Cellular Learning Automata based Evolutionary Algorithm
In this paper, a new fuzzy clustering algorithm that uses cellular learning automata based evolutionary computing (CLA-EC) is proposed. The CLA-EC is a model obtained by combining...
Reza Rastegar, A. R. Arasteh, Arash Hariri, Mohamm...
EVOW
2010
Springer
14 years 1 months ago
Evolutionary Sound Synthesis: Rendering Spectrograms from Cellular Automata Histograms
In this paper we report on the synthesis of sounds using cellular automata, specifically the multitype voter model. The mapping process adopted is based on digital signal processin...
Jaime Serquera, Eduardo R. Miranda
GECCO
2004
Springer
134views Optimization» more  GECCO 2004»
14 years 2 months ago
A New Universal Cellular Automaton Discovered by Evolutionary Algorithms
In Twenty Problems in the Theory of Cellular Automata, Stephen Wolfram asks “how common computational universality and undecidability [are] in cellular automata.” This papers p...
Emmanuel Sapin, Olivier Bailleux, Jean-Jacques Cha...
CORR
2008
Springer
126views Education» more  CORR 2008»
13 years 10 months ago
A Particular Universal Cellular Automaton
Abstract. Signals are a classical tool of cellular automata constructions that proved to be useful for language recognition or firing-squad synchronisation. Particles and collision...
Nicolas Ollinger, Gaétan Richard