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SIGADA
2004
Springer
15 years 6 months ago
Comparative analysis of genetic algorithm implementations
Genetic Algorithms provide computational procedures that are modeled on natural genetic system mechanics, whereby a coded solution is “evolved” from a set of potential solutio...
Robert Soricone, Melvin Neville
123
Voted
ERCIMDL
2000
Springer
147views Education» more  ERCIMDL 2000»
15 years 4 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
73
Voted
GECCO
2005
Springer
132views Optimization» more  GECCO 2005»
15 years 6 months ago
Dormant program nodes and the efficiency of genetic programming
In genetic programming, there is a tendency for individuals in a population to accumulate fragments of code – often called introns – which are redundant in the fitness evaluat...
David Jackson
90
Voted
GECCO
2007
Springer
156views Optimization» more  GECCO 2007»
15 years 7 months ago
Hierarchical genetic programming based on test input subsets
Crucial to the more widespread use of evolutionary computation techniques is the ability to scale up to handle complex problems. In the field of genetic programming, a number of d...
David Jackson
101
Voted
AHS
2006
IEEE
137views Hardware» more  AHS 2006»
15 years 6 months ago
Genetic Algorithm based Engine for Domain-Specific Reconfigurable Arrays
Domain-specific reconfigurable arrays have shown to provide an efficient trade-off between flexibility of FPGA and performance of ASIC circuit. Nonetheless, the design of these he...
Wing On Fung, Tughrul Arslan, Sami Khawam