639 search results - page 23 / 128 » Comparative analysis of genetic algorithm implementations |
GECCO
2005
Springer
14 years 1 months ago
2005
Springer
Genetic Algorithms (GAs) are very commonly used as function optimizers, basically due to their search capability. A number of different serial and parallel versions of GA exist. ...
KES
1999
Springer
13 years 11 months ago
1999
Springer
Abstract—Dynamic Demes is a new method for the parallelisation of evolutionary algorithms. It was derived as a combination of two other parallelisation algorithms: the master-sla...
GECCO
2000
Springer
13 years 11 months ago
2000
Springer
In Real coded genetic algorithms, some crossover operators do not work well on functions which have their optimum at the corner of the search space. To cope with this problem, we ...
FOGA
1998
13 years 9 months ago
1998
Genetic algorithms (GAs) are multi-dimensional and stochastic search methods, involving complex interactions among their parameters. For last two decades, researchers have been tr...
ESWA
2011
13 years 2 months ago
2011
This paper presents a multi-objective optimisation model and algorithms for scheduling of radiotherapy treatments for categorised cancer patients. The model is developed considerin...