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GPEM
2007
116views more  GPEM 2007»
13 years 7 months ago
Using evolvable genetic cellular automata to model breast cancer
Cancer is an evolutionary process; mutated cells are selected for abnormal growth and survivability. Here, a computer simulation is used to model ductal carcinoma in situ (DCIS), ...
Armand Bankhead, Robert B. Heckendorn
PDPTA
2010
13 years 5 months ago
Data-Parallelism and GPUs for Lattice Gas Fluid Simulations
Lattice gas cellular automata (LGCA) models provide a relatively fast means of simulating fluid flow and can give both quantitative and qualitative insights into flow patterns aro...
Mitchel Johnson, Daniel P. Playne, Kenneth A. Hawi...
ACRI
2004
Springer
13 years 11 months ago
Characterizing Configuration Spaces of Simple Threshold Cellular Automata
We study herewith the simple threshold cellular automata (CA), as perhaps the simplest broad class of CA with non-additive (i.e., non-linear and non-affine) local update rules. We ...
Predrag T. Tosic, Gul Agha
CORR
2004
Springer
137views Education» more  CORR 2004»
13 years 7 months ago
Implementation of Logical Functions in the Game of Life
: The Game of Life cellular automaton is a classical example of a massively parallel collision-based computing device. The automaton exhibits mobile patterns, gliders, and generato...
Jean-Philippe Rennard
SPDP
1991
IEEE
13 years 11 months ago
Asynchronous parallel search by the parallel genetic algorithm
The parallel genetic algorithm (PGA) is a prototype of a new kind of a distributed algorithm. It is based on a parallel search by individuals all of which have the complete proble...
Heinz Mühlenbein