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GECCO
2005
Springer
138views Optimization» more  GECCO 2005»
14 years 1 months ago
Promising infeasibility and multiple offspring incorporated to differential evolution for constrained optimization
In this paper, we incorporate a diversity mechanism to the differential evolution algorithm to solve constrained optimization problems without using a penalty function. The aim is...
Efrén Mezura-Montes, Jesús Vel&aacut...
GECCO
2004
Springer
166views Optimization» more  GECCO 2004»
14 years 1 months ago
Evolutionary Ensemble for Stock Prediction
We propose a genetic ensemble of recurrent neural networks for stock prediction model. The genetic algorithm tunes neural networks in a two-dimensional and parallel framework. The ...
Yung-Keun Kwon, Byung Ro Moon
EVOW
2006
Springer
13 years 11 months ago
A Neural Evolutionary Classification Method for Brain-Wave Analysis
This paper presents an approach to the joint optimization of neural network structure and weights which can take advantage of backpropagation as a specialized decoder. The approach...
Antonia Azzini, Andrea Tettamanzi
CORR
2004
Springer
86views Education» more  CORR 2004»
13 years 7 months ago
Evolutionary design of photometric systems and its application to Gaia
How do I find the optimal photometric system for a survey? Designing a photometric system to best fulfil a set of scientific goals is a complex task, demanding a compromise betwee...
Coryn A. L. Bailer-Jones
ECAL
1995
Springer
13 years 11 months ago
Contemporary Evolution Strategies
After an outline of the history of evolutionary algorithms, a new ( ) variant of the evolution strategies is introduced formally. Though not comprising all degrees of freedom, it i...
Hans-Paul Schwefel, Günter Rudolph