Preventing premature convergence to local optima in genetic algorithms via random offspring generation
The Genetic Algorithms (GAs) paradigm is being used increasingly in search and optimization problems. The method has shown to be efficient and robust in a considerable number of scientific domains, where the complexity and cardinality of the problems considered elected themselves as key factors to b...
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| Format: | conferencePaper |
| Language: | eng |
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1999
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| Online Access: | http://hdl.handle.net/1822/4291 |
| Country: | Portugal |
| Oai: | oai:repositorium.sdum.uminho.pt:1822/4291 |