498 search results - page 58 / 100 » Optimization of Genetic Operators for Scheduling Problems |
SAC
1998
ACM
15 years 4 months ago
1998
ACM
The fast messy genetic algorithm (fmGA) belongs to a class of algorithms inspired by the principles of evolution, known appropriately as "evolutionary algorithms" (EAs)....
EVOW
2006
Springer
15 years 3 months ago
2006
Springer
Mobile Ad-hoc Networks (MANETs) are composed of a set of communicating devices which are able to spontaneously interconnect without any pre-existing infrastructure. In such scenari...
GECCO
2000
Springer
15 years 3 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 ...
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GECCO
2007
Springer
15 years 6 months ago
2007
Springer
An agent population can be evolved in a complex environment to perform various tasks and optimize its job performance using Learning Classifier System (LCS) technology. Due to the...
EUROGP
2010
Springer
2010
Springer
Improving the Generalisation Ability of Genetic Programming with Semantic Similarity based Crossover
15 years 28 days ago
This paper examines the impact of semantic control on the ability of Genetic Programming (GP) to generalise via a semantic based crossover operator (Semantic Similarity based Cross...