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» Removing the Genetics from the Standard Genetic Algorithm
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GECCO
2009
Springer
112views Optimization» more  GECCO 2009»
15 years 4 months ago
Soft memory for stock market analysis using linear and developmental genetic programming
Recently, a form of memory usage was introduced for genetic programming (GP) called “soft memory.” Rather than have a new value completely overwrite the old value in a registe...
Garnett Carl Wilson, Wolfgang Banzhaf
PACT
1997
Springer
15 years 2 months ago
Parallel and Distributed Evolutionary Computation with MANIFOLD
Abstract. In this paper, we apply a competitive coevolutionary approach using loosely coupled genetic algorithms to a distributed optimization of the Rosenbrock's function. Th...
Franciszek Seredynski, Pascal Bouvry, Farhad Arbab
APN
2005
Springer
15 years 3 months ago
Genetic Process Mining
The topic of process mining has attracted the attention of both researchers and tool vendors in the Business Process Management (BPM) space. The goal of process mining is to discov...
Wil M. P. van der Aalst, Ana Karla A. de Medeiros,...
CEC
2003
IEEE
15 years 3 months ago
An evolutionary approach to microstructure optimisation of stereolithographic models
The aim of this work is to utilize an evolutationary algorithm to evolve the microstructure of an object created by a stereolithography machine. This should be optimised to be able...
Siavash Haroun Mahdavi, Sean Hanna
MAM
2007
157views more  MAM 2007»
14 years 9 months ago
Executing large algorithms on low-capacity FPGAs using flowpath partitioning and runtime reconfiguration
This paper describes a new method of executing a software program on an FPGA for embedded systems. Rather than combine reconfigurable logic with a microprocessor core, this method...
Darrin M. Hanna, Michael DuChene