Nature-inspired computation in engineering [electronic resource] / Xin-She Yang, editor.
Yang, Xin-She, editor.
2016
Q337.3
Available Online

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Title Nature-inspired computation in engineering [electronic resource] / Xin-She Yang, editor.
ISBN 9783319302355 (electronic book)
3319302353 (electronic book)
9783319302331
DOI https://doi.org/10.1007/978-3-319-30235-5
Published Switzerland : Springer, 2016.
Language English
Description 1 online resource (x, 276 pages) : illustrations.
Item Number 10.1007/978-3-319-30235-5 doi
Call Number Q337.3
Dewey Decimal Classification 006.3/824
Summary This timely review book summarizes the state-of-the-art developments in nature-inspired optimization algorithms and their applications in engineering. Algorithms and topics include the overview and history of nature-inspired algorithms, discrete firefly algorithm, discrete cuckoo search, plant propagation algorithm, parameter-free bat algorithm, gravitational search, biogeography-based algorithm, differential evolution, particle swarm optimization and others. Applications include vehicle routing, swarming robots, discrete and combinatorial optimization, clustering of wireless sensor networks, cell formation, economic load dispatch, metamodeling, surrogated-assisted cooperative co-evolution, data fitting and reverse engineering as well as other case studies in engineering. This book will be an ideal reference for researchers, lecturers, graduates and engineers who are interested in nature-inspired computation, artificial intelligence and computational intelligence. It can also serve as a reference for relevant courses in computer science, artificial intelligence and machine learning, natural computation, engineering optimization and data mining. .
Access Note Access limited to authorized users.
Source of Description Online resource; title from PDF title page (SpringerLink, viewed March 23, 2016).
Added Author Yang, Xin-She, editor.
Series Studies in computational intelligence ; v. 637.
Available in Other Form Print version: 9783319302331
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Enhancing Cooperative Coevolution with Surrogate-Assisted Local Search
Cuckoo Search: From Cuckoo Reproduction Strategy to Combinatorial Optimization
Clustering Optimization for WSN based on Nature-Inspired Algorithms
Discrete Firefly Algorithm for Recruiting Task in a Swarm of Robots
Nature-Inspired Swarm Intelligence for Data Fitting in Reverse Engineering: Recent Advances and FutureTrends
A Novel Fast Optimisation Algorithm Using Differential Evolution Algorithm Optimisation and Meta- Modelling Approach
A Hybridization of Runner-Based and Seed-Based Plant Propagation Algorithm
Gravitational Search Algorithm Applied to Cell Formation Problem
Parameterless Bat Algorithm and its Performace Study.

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