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» Exploring a Two-Population Genetic Algorithm
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EC
2000
171views ECommerce» more  EC 2000»
13 years 7 months ago
Building Blocks, Cohort Genetic Algorithms, and Hyperplane-Defined Functions
Building blocks are a ubiquitous feature at all levels of human understanding, from perception through science and innovation. Genetic algorithms are designed to exploit this prev...
John H. Holland
ILP
2000
Springer
13 years 11 months ago
Searching the Subsumption Lattice by a Genetic Algorithm
A framework for combining Genetic Algorithms with ILP methods is introduced and a novel binary representation and relevant genetic operators are discussed. It is shown that the pro...
Alireza Tamaddoni-Nezhad, Stephen Muggleton
GECCO
2006
Springer
447views Optimization» more  GECCO 2006»
13 years 11 months ago
Candlestick stock analysis with genetic algorithms
Candlestick analysis, a form of stock market technical analysis, is well suited for use with a genetic search algorithm. This paper explores an implementation of marrying these tw...
Peter Belford
ASAP
2010
IEEE
185views Hardware» more  ASAP 2010»
13 years 7 months ago
ImpEDE: A multidimensional design-space exploration framework for biomedical-implant processors
Abstract—The demand for biomedical implants keeps increasing. However, most of the current implant design methodologies involve custom-ASIC design. The SiMS project aims to chang...
Dhara Dave, Christos Strydis, Georgi Gaydadjiev
JIFS
2002
107views more  JIFS 2002»
13 years 7 months ago
Model selection via Genetic Algorithms for RBF networks
This work addresses the problem of finding the adjustable parameters of a learning algorithm using Genetic Algorithms. This problem is also known as the model selection problem. In...
Estefane G. M. de Lacerda, André Carlos Pon...