1830 search results - page 98 / 366 » Optimizing Sorting with Genetic Algorithms |
FGCS
2006
14 years 10 months ago
2006
This paper presents a predictable and grouped genetic algorithm (PGGA) for job scheduling. The novelty of the PGGA is twofold: (1) a job workload estimati...
ENGL
2007
14 years 10 months ago
2007
—Genetic Algorithms (GA) and Evolutionary Programming (EP) are two well-known optimization methods that belong to the class of Evolutionary Algorithms (EA). Both methods have gen...
CEC
2005
IEEE
15 years 3 months ago
2005
IEEE
Genetic algorithms (GAs) and evolution strategies (ESs) are two widely used evolutionary algorithms. The main differences between GAs and ESs lie in their representations and varia...
GECCO
2003
Springer
15 years 3 months ago
2003
Springer
This paper introduces a novel genetic algorithm strategy based on the reuse of chromosomes from previous generations in the creation of offspring individuals. A number of chromoso...
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GECCO
1999
Springer
15 years 2 months ago
1999
Springer
From the user’s point of view, setting the parameters of a genetic algorithm (GA) is far from a trivial task. Moreover, the user is typically not interested in population sizes,...