Custom cover image
Custom cover image

Advances in Nature-Inspired Computing and Applications / edited by Shishir Kumar Shandilya, Smita Shandilya, Atulya K. Nagar

Contributor(s): Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: EAI/Springer Innovations in Communication and Computing | SpringerLink BücherPublisher: Cham : Springer International Publishing, 2019Description: Online-Ressource (XVI, 349 p. 137 illus., 109 illus. in color, online resource)ISBN:
  • 9783319964515
Subject(s): Additional physical formats: 9783319964508 | 9783319964522 | Erscheint auch als: 978-3-319-96450-8 Druck-Ausgabe | Printed edition: 9783319964508 | Printed edition: 9783319964522 DDC classification:
  • 621.382
LOC classification:
  • TK1-9971
DOI: DOI: 10.1007/978-3-319-96451-5Online resources: Summary: This book contains research contributions from leading global scholars in nature- inspired computing. It includes comprehensive coverage of each respective topic, while also highlighting recent and future trends. The book focuses on the current research while highlighting the empirical results along with theoretical concepts to provide a comprehensive reference for students, researchers, scholars, professionals and practitioners in the field of Advanced Artificial Intelligence, Nature-Inspired Algorithms and Soft Computing. Topics include Hybrid Bio-inspired Computing; Membrane Computing; Krill Herd Algorithm; Stochastic Optimization; Firefly Optimization Algorithm;Artificial Bee Colony Algorithm; Particle Swarm Optimization; Lion Optimization Algorithm; and Monkey Search Optimization. • Presents complete coverage of nature-inspired computing and applications; • Provides a comprehensive, critical and descriptive examination of all facetsof nature-inspired algorithms and naturally-intelligent machines; • Fundamentals are emphasized throughout the book to provide strong basis for studentsSummary: A Nature-inspired Decision System for Secure Cyber Network Architecture -- Optimizing Resource Allocation in Next-Generation Wireless Networks Considering Carrier Aggregation Using Evolutionary Programming -- Artificial Feeding Birds (AFB): a new metaheuristic inspired by the behavior of pigeons -- Nature - Inspired Algorithms for Medical Image Processing -- Firefly Algorithm applied to the Estimation of Parameters of Photovoltaic Systems -- Realization of PSO-based Adaptive Beamforming Algorithm for Smart Antennas -- A Multi-objective Analysis and Comparison of Bio-inspired Approaches for the Cluster-Head Selection problem in WSN -- An Energy Efficient Cluster Head Selection using Artificial Bees Colony Optimization for Wireless Sensor Networks -- Modified Krill Herd Algorithm for Global Numerical Optimization Problems -- Application of Nature-Inspired Optimization Techniques in Vessel Traffic Control -- Enhanced throughput and accelerated detection of network attacks using a membrane computing model implemented on a GPU -- Physics-based Algorithms for Boolean Target Coverage -- A Hybrid Bio- Inspired Algorithm for Protein Domain Problems -- Modeling Service Discovery over Wireless Mesh NetworksPPN: PPN: 1030113149Package identifier: Produktsigel: ZDB-2-ENG | ZDB-2-SEB | ZDB-2-SXE
No physical items for this record

Reproduktion. (Springer eBook Collection. Engineering)

KIT – The Research University in the Helmholtz Association                         Home | Impressum | Datenschutz | Barrierefreiheit | KIT