Advances in Nature-Inspired Computing and Applications / edited by Shishir Kumar Shandilya, Smita Shandilya, Atulya K. Nagar.
Contributor(s): Nagar, Atulya K., editor literario | Shandilya, Shishir Kumar., editor literario | Shandilya, Smita., editor literario | SpringerLink (Online service)
Series: (EAI/Springer Innovations in Communication and Computing, 2522-8595); (Engineering (Springer-11647)).Publisher: Cham : Springer International Publishing : Imprint: Springer, 2019Description: 1 recurso en línea (XVI, 349 páginas) : 137 ilustraciones, 109 ilustraciones a color.ISBN: 9783319964515.Subject: Ciencias naturales -- Programación
| Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|---|
LIBRO-E NO PRÉSTAMO
|
Madrid Digital Acceso Electrónico (UEM) | Ciencias e Ingeniería | QA76.9.N37 2019 EB (Browse shelf(Opens below)) | Acceso electrónico | eBooks24062669 |
Browsing Madrid Digital shelves, Shelving location: Acceso Electrónico (UEM) Close shelf browser (Hides shelf browser)
| QA76.9.M65 K599 2016 EB Ethics in Computing : A Concise Module | QA76.9 .N37 2019 EB Natural Computing for Unsupervised Learning | QA76.9 .N37 2019 EB Nature Inspired Optimization Techniques for Image Processing Applications | QA76.9.N37 2019 EB Advances in Nature-Inspired Computing and Applications | QA76.9 .N37 2019 EB Biologically Inspired Cognitive Architectures 2018 : Proceedings of the Ninth Annual Meeting of the BICA Society | QA76.9.N37 2019 EB Bioinspired Heuristics for Optimization | QA76.9.N37 2019 EB Biogeography-Based Optimization : Algorithms and Applications |
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 Networks.
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 students.
There are no comments on this title.