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» Solving Mastermind Using Genetic Algorithms
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ERCIMDL
2000
Springer
147views Education» more  ERCIMDL 2000»
14 years 8 days 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
2004
Springer
123views Optimization» more  GECCO 2004»
14 years 2 months ago
Heuristic Methods for Solving Euclidean Non-uniform Steiner Tree Problems
In this paper, we consider a variation of the Euclidean Steiner Tree Problem in which the space underlying the set of nodes has a specified non-uniform cost structure. This proble...
Ian Frommer, Bruce L. Golden, Guruprasad Pundoor
GECCO
2009
Springer
156views Optimization» more  GECCO 2009»
14 years 3 months ago
Characterizing the genetic programming environment for fifth (GPE5) on a high performance computing cluster
Solving complex, real-world problems with genetic programming (GP) can require extensive computing resources. However, the highly parallel nature of GP facilitates using a large n...
Kenneth Holladay
AISB
1997
Springer
14 years 25 days ago
Modelling Bounded Rationality Using Evolutionary Techniques
A technique for the credible modelling of economic agents with bounded rationality based on the evolutionary techniques is described. The genetic programming paradigm is most suite...
Bruce Edmonds, Scott Moss
GECCO
2005
Springer
119views Optimization» more  GECCO 2005»
14 years 2 months ago
Improving GA search reliability using maximal hyper-rectangle analysis
In Genetic algorithms it is not easy to evaluate the confidence level in whether a GA run may have missed a complete area of good points, and whether the global optimum was found....
Chongshan Zhang, Khaled Rasheed