
In recent years, the issue of linkage in GEAs has garnered greater attention and recognition from researchers. Conventional approaches that rely much on adhoc tweaking of parameters to control the search by balancing the level of exploitation and exploration are grossly inadequate. As shown in the work reported here, such parameters tweaking based approaches have their limits; they canbe easily ‘fooled’ by cases of triviality or peculiarity of the class of problems that the algorithms are designed to handle. Furthermore, these approachesare usually blind to the interactions between the decision variables, therebydisrupting the partial solutions that are being built up along the way Presents recent results in Linkage in Evolutionary Computation INDICE: Part I Models and Theories.- Part II Operators & Frameworks.- Part III Applications.
- ISBN: 978-3-540-85067-0
- Editorial: Springer
- Encuadernacion: Cartoné
- Páginas: 380
- Fecha Publicación: 01/09/2008
- Nº Volúmenes: 1
- Idioma: Inglés