Advances in Nature-Inspired Computing and Applications (Eai/springer Innovations in Communication and Computing)

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Advances in Nature-Inspired Computing and Applications (Eai/springer Innovations in Communication and Computing)

  • オンデマンド(OD/POD)版です。キャンセルは承れません。
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  • 製本 Hardcover:ハードカバー版/ページ数 349 p.
  • 商品コード 9783319964508

Full Description

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.

Contents

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.

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