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Exploitation of Linkage Learning in Evolutionary Algorithms

Exploitation of Linkage Learning in Evolutionary Algorithms

Ying-Ping Chen

134,80 €
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Editorial:
Springer Nature B.V.
Año de edición:
2010
Materia
Inteligencia artificial
ISBN:
9783642128332
134,80 €
IVA incluido
Disponible

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Otros libros del autor

  • Exploitation of Linkage Learning in Evolutionary Algorithms
    Ying-ping Chen
    One major branch of enhancing the performance of evolutionary algorithms is the exploitation of linkage learning. This monograph aims to capture the recent progress of linkage learning, by compiling a series of focused technical chapters to keep abreast of the developments and trends in the area of linkage. In evolutionary algorithms, linkage models the relation between decisio...
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  • Extending the Scalability of Linkage Learning Genetic Algorithms
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    Introduction.- Genetic Algorithms and Genetic Linkage.- Genetic Linkage Learning Techniques .- Linkage Learning Genetic Algorithm.- Preliminaries: Assumptions and the Test Problem.- A First Improvement: Using Promoters.- Convergence Time for the Linkage Learning Genetic Algorithm.-Introducing Subchromosome Representations.- Conclusions. ...
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  • Linkage in Evolutionary Computation
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    In recent years, the issue of linkage in GEAs has garnered greater attention and recognition from researchers. Conventional approaches that rely much on ad hoc 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 ap...
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  • Linkage in Evolutionary Computation
    Ying-ping Chen
    In recent years, the issue of linkage in GEAs has garnered greater attention and recognition from researchers. Conventional approaches that rely much on ad hoc 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 ap...
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  • Extending the Scalability of Linkage Learning Genetic Algorithms
    Ying-ping Chen
    Genetic algorithms (GAs) are powerful search techniques based on principles of evolution and widely applied to solve problems in many disciplines. However, most GAs employed in practice nowadays are unable to learn genetic linkage and suffer from the linkage problem. The linkage learning genetic algorithm (LLGA) was proposed to tackle the linkage prob...
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