Screen LibraryComputational Intelligence : International Joint Conference, IJCCI 2015 Lisbon, Portugal, November 12-14, 2015, Revised Selected Papers /
This book includes a selection of revised and extended versions of the best papers from the seventh International Joint Conference on Computational Intelligence (IJCCI 2015), held in Lisbon, Portugal, from 12 to 14 November 2015, which was composed of three co-located conferences: The International...
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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: |
Studies in Computational Intelligence,
669 |
| Subjects: | |
| Online Access: |
http://dx.doi.org/10.1007/978-3-319-48506-5 |
| Summary: |
This book includes a selection of revised and extended versions of the best papers from the seventh International Joint Conference on Computational Intelligence (IJCCI 2015), held in Lisbon, Portugal, from 12 to 14 November 2015, which was composed of three co-located conferences: The International Conference on Evolutionary Computation Theory and Applications (ECTA), the International Conference on Fuzzy Computation Theory and Applications (FCTA), and the International Conference on Neural Computation Theory and Applications (NCTA). The book presents recent advances in scientific developmen |
| Carrier Form: | 1 online resource (XVII, 482 pages) : illustrations. |
| ISBN: | 9783319485065 |
| Index Number: | Q342 |
| CLC: | TP18 |
| Contents: | AI Researchers, Video Games are Your Friends! -- On Routine Evolution of New Replicating Structures in Cellular Automata -- Application of Adaptive Differential Evolution for Model Identification in Furnace Optimized Control System -- Multi-Strategy Genetic Algorithm for Multimodal Optimization -- GPGPU Vs Multiprocessor SPSO Implementations to Solve Electromagnetic Optimization Problems -- Multi-Robot Cooperative Tasks using Combined Nature-Inspired Techniques -- GEML: Evolutionary Unsupervised and Semi-Supervised Learning of Multi-class Classification with Grammatical Evolution -- For Sale |