Recent Advances in the Theory and Application of Fitness Landscapes
This book is concerned with recent advances in fitness landscapes. The concept of fitness landscapes originates from theoretical biology and refers to a framework for analysing and visualizing the relationships between genotypes, phenotypes and fitness. These relationships lay at the centre of attem...
Guardado en:
| Otros Autores: | , |
|---|---|
| Formato: | Libro electrónico |
| Lenguaje: | Inglés |
| Publicado: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2014.
|
| Colección: | Emergence, Complexity and Computation,
6 |
| Materias: | |
| Acceso en línea: | http://dx.doi.org/10.1007/978-3-642-41888-4 |
| Aporte de: | Registro referencial: Solicitar el recurso aquí |
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| 245 | 1 | 0 | |a Recent Advances in the Theory and Application of Fitness Landscapes |h [libro electrónico] / |c edited by Hendrik Richter, Andries Engelbrecht. |
| 260 | 1 | |a Berlin, Heidelberg : |b Springer Berlin Heidelberg : |b Imprint: Springer, |c 2014. | |
| 300 | |a xxxviii, 553 p. |b il. | ||
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| 490 | 1 | |a Emergence, Complexity and Computation, |x 2194-7287 ; |v 6 | |
| 505 | 0 | |a Part I Principles and Perspectives -- Part II Topology, Measures and Problem Hardness -- Part III Coevolution and Dynamics -- Part IV Visualization and Characterization -- Part V Outlook and Afterthoughts. | |
| 520 | |a This book is concerned with recent advances in fitness landscapes. The concept of fitness landscapes originates from theoretical biology and refers to a framework for analysing and visualizing the relationships between genotypes, phenotypes and fitness. These relationships lay at the centre of attempts to mathematically describe evolutionary processes and evolutionary dynamics. Â Â The book addresses recent advances in the understanding of fitness landscapes in evolutionary biology and evolutionary computation. In the volume, experts in the field of fitness landscapes present these findings in an integrated way to make it accessible to a number of audiences: senior undergraduate and graduate students in computer science, theoretical biology, physics, applied mathematics and engineering, but also researcher looking for a reference or/and entry point into using fitness landscapes for analysing algorithms. Also practitioners wanting to employ fitness landscape techniques for evaluating bio- and nature-inspired computing algorithms can find valuable material in the book. For teaching proposes, the book could also be used as a reference handbook. Â . | ||
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| 650 | 2 | 4 | |a Artificial Intelligence (incl. Robotics). |9 259846 |
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| 650 | 2 | 4 | |a Systems Biology. |9 260011 |
| 700 | 1 | |a Richter, Hendrik. |e ed. |9 261800 | |
| 700 | 1 | |a Engelbrecht, Andries. |e ed. |9 261801 | |
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