Recent Advances in Memetic Algorithms
Memetic algorithms are evolutionary algorithms that apply a local search process to refine solutions to hard problems. Memetic algorithms are the subject of intense scientific research and have been successfully applied to a multitude of real-world problems ranging from the construction of optimal u...
| Corporate Author: | SpringerLink (Online service) |
|---|---|
| Other Authors: | Hart, William E. (Editor), Smith, J. E. (Editor), Krasnogor, N. (Editor) |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Berlin, Heidelberg :
Springer Berlin Heidelberg,
2005.
|
| Series: | Studies in Fuzziness and Soft Computing,
166 |
| Subjects: | |
| Online Access: | Full Text via HEAL-Link |
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