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IPPS
2000
IEEE
13 years 9 months ago
Solving Problems on Parallel Computers by Cellular Programming
Cellular automata can be used to design high-performance natural solvers on parallel computers. This paper describes the development of applications using CARPET, a high-level prog...
Domenico Talia
IPPS
2008
IEEE
13 years 11 months ago
A genetic programming approach to solve scheduling problems with parallel simulation
—Scheduling and dispatching are two ways of solving production planning problems. In this work, based on preceding works, it is explained how these two approaches can be combined...
Andreas Beham, Stephan M. Winkler, Stefan Wagner 0...
GECCO
2007
Springer
180views Optimization» more  GECCO 2007»
13 years 11 months ago
Towards the coevolution of cellular automata controllers for chemical computing with the B-Z reaction
We propose that the behaviour of non-linear media can be controlled automatically through coevolutionary systems. By extension, forms of unconventional computing, i.e., massively ...
Christopher Stone, Rita Toth, Andrew Adamatzky, Be...
FCCM
2005
IEEE
124views VLSI» more  FCCM 2005»
13 years 10 months ago
Parallel Hardware Implementation of Cellular Learning Automata Based Evolutionary Computing (CLA-EC) on FPGA
The CLA-EC is a model obtained by combining the concepts of cellular learning automata and evolutionary algorithms. The parallel structure of the CLA-EC makes it suitable for hard...
Arash Hariri, Reza Rastegar, Morteza Saheb Zamani,...
PDPTA
1996
13 years 6 months ago
Solving a 2D Knapsack Problem on an Associative Computer Augmented with a Linear Network
This paper describes a parallelization of the sequential dynamic programming method for solving a 2D knapsack problem where multiples of n rectangular objects are optimally packed...
Darrell R. Ulm, Johnnie W. Baker