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Cellular Automata, Learning Automata, and Cellular Learning Automata for Optimization
2021Since many real problems have several limitations and constraints for different environments, no standard optimization algorithms could work successfully for all kinds of problems. To enhance the abilities and improve the performance of a standard optimization algorithm for solving problems, several modifications or combinations with some techniques ...
Alireza Rezvanian +3 more
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Hierarchical Cellular Automata for Visual Saliency
International Journal of Computer Vision, 2017Saliency detection, finding the most important parts of an image, has become increasingly popular in computer vision. In this paper, we introduce Hierarchical Cellular Automata (HCA)—a temporally evolving model to intelligently detect salient objects ...
Yao Qin +3 more
semanticscholar +1 more source
2009
A cellular automaton (CA) is a discrete model for a spatiotemporal phenomenon. In a CA, an infinite number of cells are placed uniformly in the space, and each cell changes its state depending on its neighboring cells by a local function. Applying the local function to all the cells in parallel, a global function is induced, by which the configuration ...
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A cellular automaton (CA) is a discrete model for a spatiotemporal phenomenon. In a CA, an infinite number of cells are placed uniformly in the space, and each cell changes its state depending on its neighboring cells by a local function. Applying the local function to all the cells in parallel, a global function is induced, by which the configuration ...
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Cellular Automata And Complexity Collected Papers
, 2016Thank you very much for downloading cellular automata and complexity collected papers. Maybe you have knowledge that, people have look numerous times for their chosen books like this cellular automata and complexity collected papers, but end up in ...
Doreen Schweizer
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2020
Cellular automata (CA) are discrete dynamic systems in which space is tessellated into regular spatial cells and time progresses in discrete steps; the state of the cell changes over time in response to the impact of its neighboring cells and external forces through a set of transition rules, generating meaningful patterns of the system being simulated.
Liu, Yan +2 more
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Cellular automata (CA) are discrete dynamic systems in which space is tessellated into regular spatial cells and time progresses in discrete steps; the state of the cell changes over time in response to the impact of its neighboring cells and external forces through a set of transition rules, generating meaningful patterns of the system being simulated.
Liu, Yan +2 more
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A survey of cellular automata: types, dynamics, non-uniformity and applications
Natural Computing, 2016Cellular automata (CAs) are dynamical systems which exhibit complex global behavior from simple local interaction and computation. Since the inception of cellular automaton (CA) by von Neumann in 1950s, it has attracted the attention of several ...
Kamalika Bhattacharjee +3 more
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Mapping applications of cellular automata into applications of cellular automata networks
Computer Physics Communications, 2002zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Calidonna CR, Di Gregorio S, Furnari MM
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Cellular Automata and Agent-Based Models
Handbook of Regional Science, 2021K. Clarke
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A robust image encryption scheme using chaotic tent map and cellular automata
Nonlinear dynamics, 2020P. K. Naskar +3 more
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Invariant in cellular automata
Journal of Physics A: Mathematical and General, 1984Summary: For a subclass of the set of reversible cellular automata, we give the form of an exact time invariant quantity, which can be seen as a kind of energy. With the ergodic assumption, this is a model of two interacting Ising spin systems.
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