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...
| Main Authors: | , , |
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| Format: | eBook |
| Language: | English |
| Published: |
Berlin, Heidelberg
Springer Berlin Heidelberg
2015, 2015
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| Edition: | 1st ed. 2015 |
| Series: | Natural Computing Series
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| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- 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