Anthony Brabazon,
Michael O'Neill,
Sean McGarraghy,
Seán McGarraghy
e.a.
Springer Berlin Heidelberg
2015e druk, 2015
9783662436301
Natural Computing Algorithms
Specificaties
Gebonden, 540 blz.
|
Engels
Springer Berlin Heidelberg |
2015e druk, 2015
ISBN13: 9783662436301
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:
Onderdeel van serie
Natural Computing Series
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Samenvatting
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.
Specificaties
ISBN13:9783662436301
Taal:Engels
Bindwijze:gebonden
Aantal pagina's:540
Uitgever:Springer Berlin Heidelberg
Druk:2015
Hoofdrubriek:Automatisering algemeen, Computer en informatica
Serie:Natural Computing Series
Inhoudsopgave
<p>Introduction.- Introduction to Evolutionary Computing.- Genetic Algorithms.- Extending the Genetic Algorithm.- Evolution Strategies and Evolutionary Programming.- Differential Evolution.- Genetic Programming.- Particle Swarm Algorithms.- Ant Algorithms.- Honeybee Algorithms.- Other Social Algorithms.- Bacterial Foraging Algorithms.- Neural Networks for Supervised Learning.- Neural Networks for Unsupervised Learning.- Neuroevolution.- Artificial Immune Systems.- An Introduction to Developmental and Grammatical Computing.- Grammar-Based and Developmental Genetic Programming.- Grammatical Evolution.- TAG3P and Developmental TAG3P.- Genetic Regulatory Networks.- An Introduction to Physics-Inspired Computing.- Physics-Inspired Computing Algorithms.- Quantum-Inspired Evolutionary Algorithms.- Plant-Inspired Algorithms.- Chemistry-Inspired Algorithms.- Conclusions.- References.- Index.</p>
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