Screen LibraryNature-Inspired Computing and Optimization : Theory and Applications /
The book provides readers with a snapshot of the state of the art in the field of nature-inspired computing and its application in optimization. The approach is mainly practice-oriented: each bio-inspired technique or algorithm is introduced together with one of its possible applications. Applicatio...
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| Corporate Authors: | |
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| Group Author: | ; ; |
| Published: |
Springer International Publishing : Imprint: Springer,
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| Publisher Address: | Cham : |
| Publication Dates: | 2017. |
| Literature type: | eBook |
| Language: | English |
| Series: |
Modeling and Optimization in Science and Technologies,
10 |
| Subjects: | |
| Online Access: |
http://dx.doi.org/10.1007/978-3-319-50920-4 |
| Summary: |
The book provides readers with a snapshot of the state of the art in the field of nature-inspired computing and its application in optimization. The approach is mainly practice-oriented: each bio-inspired technique or algorithm is introduced together with one of its possible applications. Applications cover a wide range of real-world optimization problems: from feature selection and image enhancement to scheduling and dynamic resource management, from wireless sensor networks and wiring network diagnosis to sports training planning and gene expression, from topology control and morphological |
| Carrier Form: | 1 online resource (XXI, 494 pages) : illustrations. |
| ISBN: | 9783319509204 |
| Index Number: | Q342 |
| CLC: | TP18 |
| Contents: | From the content: The Nature of Nature: Why Nature Inspired Algorithms Work -- Improved Bat Algorithm in Noise-Free and Noisy Environments -- Multi-objective Ant Colony Optimisation in Wireless Sensor Networks.le. |