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MICAI
2004
Springer
16 years 13 days ago
Simple Feasibility Rules and Differential Evolution for Constrained Optimization
In this paper, we propose a differential evolution algorithm to solve constrained optimization problems. Our approach uses three simple selection criteria based on feasibility to g...
Efrén Mezura-Montes, Carlos A. Coello Coell...
171
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GECCO
2003
Springer
16 years 9 days ago
Structural Emergence with Order Independent Representations
Abstract. This paper compares two grammar based Evolutionary Automatic Programming methods, Grammatical Evolution (GE) and Chorus. Both systems evolve sequences of derivation rules...
R. Muhammad Atif Azad, Conor Ryan
CEC
2007
IEEE
16 years 1 months ago
Parameter calibration using meta-algorithms
— Calibrating an evolutionary algorithm (EA) means finding the right values of algorithm parameters for a given problem. This issue is highly relevant, because it has a high imp...
W. A. de Landgraaf, A. E. Eiben, Volker Nannen
GECCO
2009
Springer
159views Optimization» more  GECCO 2009»
15 years 11 months ago
Bayesian network structure learning using cooperative coevolution
We propose a cooperative-coevolution – Parisian trend – algorithm, IMPEA (Independence Model based Parisian EA), to the problem of Bayesian networks structure estimation. It i...
Olivier Barrière, Evelyne Lutton, Pierre-He...
GECCO
2000
Springer
106views Optimization» more  GECCO 2000»
15 years 10 months ago
A Genetic Segmentation Algorithm for Image Data Streams and Video
We describe a genetic segmentation algorithm for image data streams and video. This algorithm operates on segments of a string representation. It is similar to both classical gene...
Patrick Chiu, Andreas Girgensohn, Wolfgang Polak, ...