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GECCO
2005
Springer
149views Optimization» more  GECCO 2005»
15 years 5 months ago
Parallel genetic algorithms on line topology of heterogeneous computing resources
This paper evaluates a parallel genetic algorithm (GA) on the line topology of heterogeneous computing resources. Evolution process of parallel GAs is investigated on two types of...
Yiyuan Gong, Morikazu Nakamura, Shiro Tamaki
GECCO
2009
Springer
124views Optimization» more  GECCO 2009»
15 years 6 months ago
Three interconnected parameters for genetic algorithms
When an optimization problem is encoded using genetic algorithms, one must address issues of population size, crossover and mutation operators and probabilities, stopping criteria...
Pedro A. Diaz-Gomez, Dean F. Hougen
GECCO
2006
Springer
159views Optimization» more  GECCO 2006»
15 years 3 months ago
Identification of weak motifs in multiple biological sequences using genetic algorithm
Recognition of motifs in multiple unaligned sequences provides an insight into protein structure and function. The task of discovering these motifs is very challenging because mos...
Topon Kumar Paul, Hitoshi Iba
ICGA
1993
296views Optimization» more  ICGA 1993»
15 years 1 months ago
A Genetic Algorithm Applied to the Maximum Flow Problem
A genetic algorithms is applied to find a maximum flow from the source to sink in a weighted directed graph, where the weight associated with each edge represents its flow capacit...
Toshinori Munakata, David J. Hashier
GECCO
2006
Springer
226views Optimization» more  GECCO 2006»
15 years 3 months ago
Segmentation of medical images using a genetic algorithm
Segmentation of medical images is challenging due to poor image contrast and artifacts that result in missing or diffuse organ/tissue boundaries. Consequently, this task involves ...
Payel Ghosh, Melanie Mitchell