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» Motivation and framework for using genetic algorithms for mi...
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142
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CEC
2005
IEEE
15 years 8 months ago
Elitist generational genetic chromodynamics - a new radii-based evolutionary algorithm for multimodal optimization
A new radii-based evolutionary algorithm (EA) designed for multimodal optimization problems is proposed. The approach can be placed within the genetic chromodynamics framework and ...
Catalin Stoean, Mike Preuss, Ruxandra Gorunescu, D...
116
Voted
ISNN
2007
Springer
15 years 8 months ago
Memetic Algorithms for Feature Selection on Microarray Data
In this paper, we present two novel memetic algorithms (MAs) for gene selection. Both are synergies of Genetic Algorithm (wrapper methods) and local search methods (filter methods...
Zexuan Zhu, Yew-Soon Ong
117
Voted
PPSN
1994
Springer
15 years 6 months ago
RPL2: A Language and Parallel Framework for Evolutionary Computing
The Reproductive Plan Language 2 (RPL2) is an extensible interpreted language for writing and using evolutionary computing programs. It supports arbitrary genetic representations,...
Patrick D. Surry, Nicholas J. Radcliffe
119
Voted
GPEM
2000
121views more  GPEM 2000»
15 years 2 months ago
Bayesian Methods for Efficient Genetic Programming
ct. A Bayesian framework for genetic programming GP is presented. This is motivated by the observation that genetic programming iteratively searches populations of fitter programs ...
Byoung-Tak Zhang
130
Voted
ESANN
2006
15 years 4 months ago
Optimal design of hierarchical wavelet networks for time-series forecasting
The purpose of this study is to identify the Hierarchical Wavelet Neural Networks (HWNN) and select important input features for each sub-wavelet neural network automatically. Base...
Yuehui Chen, Bo Yang, Ajith Abraham