Natural Computing Algorithms
Produktnummer:
18156ae2b77d2547109de150788e6395a3
| Autor: | Brabazon, Anthony McGarraghy, Seán O'Neill, Michael |
|---|---|
| Themengebiete: | Artificial Immune Systems (AIS) Bacterial Foraging Algorithms Chemistry-Inspired Algorithms Developmental Computing Differential Evolution (DE) Evolution Strategies (ES) Evolutionary Algorithms (EA) Evolutionary Computing (EC) Evolutionary Programming (EP) Genetic Algorithms (GA) |
| Veröffentlichungsdatum: | 19.10.2015 |
| EAN: | 9783662436301 |
| Sprache: | Englisch |
| Seitenzahl: | 554 |
| Produktart: | Gebunden |
| Verlag: | Springer Berlin |
Produktinformationen "Natural Computing Algorithms"
The field of natural computing has been the focus of a substantial research effort in recent decades. One particular strand of this research concerns the development of computational algorithms using metaphorical inspiration from systems and phenomena that occur in the natural world. These naturally inspired computing algorithms have proven to be successful problem-solvers across domains as diverse as management science, bioinformatics, finance, marketing, engineering, architecture and design.This book is a comprehensive introduction to natural computing algorithms, suitable for academic and industrial researchers and for undergraduate and graduate courses on natural computing in computer science, engineering and management science.
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