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» On multi-avoidance of generalized patterns
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GECCO
2007
Springer
187views Optimization» more  GECCO 2007»
15 years 9 months ago
Defining implicit objective functions for design problems
In many design tasks it is difficult to explicitly define an objective function. This paper uses machine learning to derive an objective in a feature space based on selected examp...
Sean Hanna
118
Voted
GECCO
2007
Springer
162views Optimization» more  GECCO 2007»
15 years 9 months ago
A multi-objective approach to discover biclusters in microarray data
The main motivation for using a multi–objective evolutionary algorithm for finding biclusters in gene expression data is motivated by the fact that when looking for biclusters ...
Federico Divina, Jesús S. Aguilar-Ruiz
133
Voted
GECCO
2007
Springer
158views Optimization» more  GECCO 2007»
15 years 9 months ago
A novel generative encoding for exploiting neural network sensor and output geometry
A significant problem for evolving artificial neural networks is that the physical arrangement of sensors and effectors is invisible to the evolutionary algorithm. For example,...
David B. D'Ambrosio, Kenneth O. Stanley
131
Voted
GECCO
2007
Springer
137views Optimization» more  GECCO 2007»
15 years 9 months ago
Robust multi-cellular developmental design
This paper introduces a continuous model for Multi-cellular Developmental Design. The cells are fixed on a 2D grid and exchange ”chemicals” with their neighbors during the gr...
Alexandre Devert, Nicolas Bredeche, Marc Schoenaue...
119
Voted
GECCO
2007
Springer
228views Optimization» more  GECCO 2007»
15 years 9 months ago
Collective behavior based hierarchical XCS
This paper attempts to extend the XCS research by analyzing the impact of information exchange between XCS agents on classifier performance. Two types of information are exchange...
Matthew Gershoff, Sonia Schulenburg