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GECCO
2006
Springer
168views Optimization» more  GECCO 2006»
15 years 10 months ago
Crossover gene selection by spatial location
Spatial based gene selection for division of chromosomes used by crossover operators is proposed for three-dimensional problems. This spatial selection is shown to preserve more g...
David M. Cherba, William F. Punch
GECCO
2006
Springer
212views Optimization» more  GECCO 2006»
15 years 10 months ago
Non-wrapping order crossover: an order preserving crossover operator that respects absolute position
In this paper, we introduce a new crossover operator for the permutation representation of a GA. This new operator-Non-Wrapping Order Crossover (NWOX)--is a variation of the well-...
Vincent A. Cicirello
GECCO
2006
Springer
185views Optimization» more  GECCO 2006»
15 years 10 months ago
Robot gaits evolved by combining genetic algorithms and binary hill climbing
In this paper an evolutionary algorithm is used for evolving gaits in a walking biped robot controller. The focus is fast learning in a real-time environment. An incremental appro...
Lena Mariann Garder, Mats Erling Høvin
GECCO
2006
Springer
191views Optimization» more  GECCO 2006»
15 years 10 months ago
Using convex hulls to represent classifier conditions
This papers presents a novel representation of classifier conditions based on convex hulls. A classifier condition is represented by a sets of points in the problem space. These p...
Pier Luca Lanzi, Stewart W. Wilson
GECCO
2006
Springer
171views Optimization» more  GECCO 2006»
15 years 10 months ago
A hybrid genetic search for multiple sequence alignment
This paper proposes a hybrid genetic algorithm for multiple sequence alignment. The algorithm evolves guide sequences and aligns input sequences based on the guide sequences. It a...
Seung-Hyun Moon, Sung-Soon Choi, Byung Ro Moon