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164
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GECCO
2007
Springer
185views Optimization» more  GECCO 2007»
16 years 9 days ago
An informed convergence accelerator for evolutionary multiobjective optimiser
A novel optimisation accelerator deploying neural network predictions and objective space direct manipulation strategies is presented. The concept of directing the search through ...
Salem F. Adra, Ian Griffin, Peter J. Fleming
ICDM
2002
IEEE
143views Data Mining» more  ICDM 2002»
15 years 11 months ago
A Hybrid Approach to Discover Bayesian Networks From Databases Using Evolutionary Programming
This paper describes a novel data mining approach that employs evolutionary programming to discover knowledge represented in Bayesian networks. There are two different approaches ...
Man Leung Wong, Shing Yan Lee, Kwong-Sak Leung
EVOW
2009
Springer
15 years 10 months ago
The Evolution of Evolutionary Software: Intelligent Rhythm Generation in Kinetic Engine
This paper presents an evolutionary music software system that generates complex rhythmic polyphony in performance. A population of rhythms is derived from analysis of source mater...
Arne Eigenfeldt
138
Voted
GECCO
2006
Springer
170views Optimization» more  GECCO 2006»
15 years 9 months ago
Towards an evolutionary tool for the allocation of supermarket shelf space
In this paper we set the first steps towards the development of a commercially viable tool that uses evolutionary computation to address the Product to Shelf Allocation Problem (P...
Anna Esparcia-Alcázar, Lidia Lluch-Revert, ...
GECCO
2003
Springer
103views Optimization» more  GECCO 2003»
15 years 11 months ago
Evaluation of Parameter Sensitivity for Portable Embedded Systems through Evolutionary Techniques
Power consumption and portability issues are becoming increasingly significant in embedded system architectures. Therefore, it is important that chip architects and integrated circ...
James Northern III, Michael A. Shanblatt