Srikanta Patnaik & Xin-She Yang 
Nature-Inspired Computing and Optimization [PDF ebook] 
Theory and Applications

Wsparcie

The book provides readers with a snapshot of the state of the art in the field of nature-inspired computing and its application in optimization. The approach is mainly practice-oriented: each bio-inspired technique or algorithm is introduced together with one of its possible applications. Applications cover a wide range of real-world optimization problems: from feature selection and image enhancement to scheduling and dynamic resource management, from wireless sensor networks and wiring network diagnosis to sports training planning and gene expression, from topology control and morphological filters to nutritional meal design and antenna array design. There are a few theoretical chapters comparing different existing techniques, exploring the advantages of nature-inspired computing over other methods, and investigating the mixing time of genetic algorithms. The book also introduces a wide range of algorithms, including the ant colony optimization, the bat algorithm, genetic algorithms, the collision-based optimization algorithm, the flower pollination algorithm, multi-agent systems and particle swarm optimization. This timely book is intended as a practice-oriented reference guide for students, researchers and professionals.

€160.49
Metody Płatności

Spis treści

From the content: The Nature of Nature: Why Nature Inspired Algorithms Work.- Improved Bat Algorithm in Noise-Free and Noisy Environments.- Multi-objective Ant Colony Optimisation in Wireless Sensor Networks.le

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Język Angielski ● Format PDF ● Strony 494 ● ISBN 9783319509204 ● Rozmiar pliku 15.8 MB ● Redaktor Srikanta Patnaik & Xin-She Yang ● Wydawca Springer International Publishing ● Miasto Cham ● Kraj CH ● Opublikowany 2017 ● Do pobrania 24 miesięcy ● Waluta EUR ● ID 5074379 ● Ochrona przed kopiowaniem Społeczny DRM

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