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 contributions provides readers with a snapshot of the state of the art in the field of nature-inspired computing and its application. This book has focus on the current researches 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.
Inhaltsverzeichnis
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 computingmodel 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.