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EUROGP
2007
Springer
135views Optimization» more  EUROGP 2007»
16 years 20 days ago
A Grammatical Genetic Programming Approach to Modularity in Genetic Algorithms
The ability of Genetic Programming to scale to problems of increasing difficulty operates on the premise that it is possible to capture regularities that exist in a problem environ...
Erik Hemberg, Conor Gilligan, Michael O'Neill, Ant...
GECCO
2007
Springer
150views Optimization» more  GECCO 2007»
16 years 20 days ago
Credit assignment in adaptive memetic algorithms
Adaptive Memetic Algorithms couple an evolutionary algorithm with a number of local search heuristics for improving the evolving solutions. They are part of a broad family of meta...
J. E. Smith
GECCO
2007
Springer
209views Optimization» more  GECCO 2007»
16 years 20 days ago
Kernel based automatic clustering using modified particle swarm optimization algorithm
This paper introduces a method for clustering complex and linearly non-separable datasets, without any prior knowledge of the number of naturally occurring clusters. The proposed ...
Ajith Abraham, Swagatam Das, Amit Konar
GECCO
2007
Springer
198views Optimization» more  GECCO 2007»
16 years 20 days ago
On the design of optimisers for surface reconstruction
In many industrial applications the need for an efficient and high-quality reconstruction of free-form surfaces does exist. Surface Reconstruction – the generation of CAD models...
Tobias Wagner, Thomas Michelitsch, Alexei Sacharow
GECCO
2007
Springer
200views Optimization» more  GECCO 2007»
16 years 20 days ago
Performance analysis of niching algorithms based on derandomized-ES variants
A survey of niching algorithms, based on 5 variants of derandomized Evolution Strategies (ES), is introduced. This set of niching algorithms, ranging from the very first derandom...
Ofer M. Shir, Thomas Bäck