Nature-Inspired Computing and Optimization Theory and Applications

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. Applicatio...

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Corporate Author: SpringerLink (Online service)
Other Authors: Patnaik, Srikanta (Editor), Yang, Xin-She (Editor), Nakamatsu, Kazumi (Editor)
Format: eBook
Published: Cham Springer International Publishing 2017, 2017
Edition:1st ed. 2017
Series:Modeling and Optimization in Science and Technologies
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • 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