Advances in Nature-Inspired Computing and Applications -

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Résumé :
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....

Biographie:
he has been the Head of Department of Mathematics and Computer Science which he established at the University. Professor Nagar is an internationally respected scholar working at the cutting edge of theoretical computer science, applied mathematical analysis, operations research, and systems engineering. He received a prestigious Commonwealth Fellowship for pursuing his doctorate (DPhil) in Applied Non-Linear Mathematics, which he earned from the University of York (UK) in 1996...

Sommaire:
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.