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» Nature inspired genetic algorithms for hard packing problems
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GECCO
2007
Springer
437views Optimization» more  GECCO 2007»
13 years 11 months ago
A gestalt genetic algorithm: less details for better search
The basic idea to defend in this paper is that an adequate perception of the search space, sacrificing most of the precision, can paradoxically accelerate the discovery of the mo...
Christophe Philemotte, Hugues Bersini
COMCOM
2007
84views more  COMCOM 2007»
13 years 5 months ago
A genetic approach for adding QoS to distributed virtual environments
Distributed Virtual Environment (DVE) systems have been designed last years as a set of distributed servers. These systems allow a large number of remote users to share a single 3...
Silvia Rueda, Pedro Morillo, Juan M. Orduña...
ERCIMDL
2000
Springer
147views Education» more  ERCIMDL 2000»
13 years 8 months ago
Map Segmentation by Colour Cube Genetic K-Mean Clustering
Segmentation of a colour image composed of different kinds of texture regions can be a hard problem, namely to compute for an exact texture fields and a decision of the optimum num...
Vitorino Ramos, Fernando Muge
GECCO
2005
Springer
155views Optimization» more  GECCO 2005»
13 years 10 months ago
A developmental genetics-inspired approach to robot control
The need to build modular, scalable, and complex technology capable of adaptation, self-assembly, and self-repair has fuelled renewed interest in using approaches inspired by deve...
Sanjeev Kumar
GECCO
2000
Springer
250views Optimization» more  GECCO 2000»
13 years 8 months ago
A Simple and Fast GA-SA hybrid Image Segmentation Algorithm
Image segmentation is an important process of image analysis. Most of the published approaches for image segmentation need to set appropriate parameter values to cope with the unc...
Shinn-Ying Ho, Kual-Zheng Lee