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» On Genetic Algorithms and Lindenmayer Systems
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GECCO
2006
Springer
165views Optimization» more  GECCO 2006»
15 years 5 months ago
Comparing mathematical models on the problem of network inference
In this paper we address the problem of finding gene regulatory networks from experimental DNA microarray data. We focus on the evaluation of the performance of different mathemat...
Christian Spieth, Nadine Hassis, Felix Streichert
FPGA
2004
ACM
174views FPGA» more  FPGA 2004»
15 years 7 months ago
A compiled accelerator for biological cell signaling simulations
The simulation of large systems of biochemical reactions is a key part of research into molecular signaling and information processing in biological cells. However, it can be impr...
John F. Keane, Christopher Bradley, Carl Ebeling
PRICAI
2004
Springer
15 years 7 months ago
Constrained Ant Colony Optimization for Data Clustering
Processes that simulate natural phenomena have successfully been applied to a number of problems for which no simple mathematical solution is known or is practicable. Such meta-heu...
Shu-Chuan Chu, John F. Roddick, Che-Jen Su, Jeng-S...
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EC
2006
195views ECommerce» more  EC 2006»
15 years 1 months ago
Automated Global Structure Extraction for Effective Local Building Block Processing in XCS
Learning Classifier Systems (LCSs), such as the accuracy-based XCS, evolve distributed problem solutions represented by a population of rules. During evolution, features are speci...
Martin V. Butz, Martin Pelikan, Xavier Llorà...
GECCO
2007
Springer
184views Optimization» more  GECCO 2007»
15 years 8 months ago
ECGA vs. BOA in discovering stock market trading experts
This paper presents two evolutionary algorithms, ECGA and BOA, applied to constructing stock market trading expertise, which is built on the basis of a set of specific trading ru...
Piotr Lipinski