Title	Advances in Nature-Inspired Computing and Applications [electronic resource] / edited by Shishir Kumar Shandilya, Smita Shandilya, Atulya K. Nagar
Imprint	Cham : Springer International Publishing : Imprint: Springer, 2019
Connect to	https://doi.org/10.1007/978-3-319-96451-5
Descript	XVI, 349 p. 137 illus., 109 illus. in color. online resource

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

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

1. Telecommunication
2. Engineering
3. Artificial intelligence
4. Bioinformatics
5. Communications Engineering
6. Networks. http://scigraph.springernature.com/things/product-market-codes/T24035
7. Computational Intelligence. http://scigraph.springernature.com/things/product-market-codes/T11014
8. Artificial Intelligence. http://scigraph.springernature.com/things/product-market-codes/I21000
9. Complexity. http://scigraph.springernature.com/things/product-market-codes/T11022
10. Bioinformatics. http://scigraph.springernature.com/things/product-market-codes/L15001