Recent Trends in Swarm Intelligence Enabled Research for Engineering Applications: Hybrid Computational Intelligence for Pattern Analysis and Understanding
Editat de Siddhartha Bhattacharyya, Mario Köppen, Debashis De, Bijaya Ketan Panigrahien Limba Engleză Paperback – 14 iul 2024
- Introduces the theory underpinning hybrid swarm intelligence-enabled research as well as the leading applications across the fields of communication, networking, and information engineering
- Presents a range of applications research, including signal processing, communication engineering, bioinformatics, controllers, federated learning systems, blockchain, and IoT
- Includes case studies and code snippets in applications chapters
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Specificații
ISBN-13: 9780443155338
ISBN-10: 044315533X
Pagini: 380
Dimensiuni: 152 x 229 x 23 mm
Greutate: 0.61 kg
Editura: ELSEVIER SCIENCE
Seria Hybrid Computational Intelligence for Pattern Analysis and Understanding
ISBN-10: 044315533X
Pagini: 380
Dimensiuni: 152 x 229 x 23 mm
Greutate: 0.61 kg
Editura: ELSEVIER SCIENCE
Seria Hybrid Computational Intelligence for Pattern Analysis and Understanding
Cuprins
Part I: Swarm Intelligence 1. Fundamentals of Swarm Intelligence 2. Group foraging of social insects 3. Division of labor 4. Nest-building of social insects 5. Collective sorting and clustering 6. Multi-objective optimization 7. Swarm-based web intelligence 8. Swarm intelligent control systems Part II: Applications 9. Signal Processing 10. Big Data Analytics 11. Communication, Networking & Information Engineering 12. Bioinformatics & Biomedical Engineering 13. Innovative Intelligent Systems & Applications 14. Swarm Intelligent Controllers 15. Optimization in Federated Learning Systems 16. Optimization of Cloud, Fog and Edge Computing Systems 17. Blockchain and IoT Part III: Hybrid Swarm Intelligence Techniques 18. Adaptive swarm intelligent systems 19. Quantum-inspired swarm intelligence 20. Neuro-Fuzzy Swarm Intelligence 21. Rough-Neuro Swarm Intelligence 22. Conclusion – Editors