Adaptation and hybridization in computational intelligence [electronic resource] / Iztok Fister, Iztok Fister Jr., editors.
Fister, Iztok, editor.; Fister, Iztok, Jr., editor.
2015
Q342
Available Online

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Title Adaptation and hybridization in computational intelligence [electronic resource] / Iztok Fister, Iztok Fister Jr., editors.
ISBN 9783319144009 electronic book
3319144006 electronic book
9783319143996
DOI https://doi.org/10.1007/978-3-319-14400-9
Published Cham [Switzerland] : Springer, 2015.
Language English
Description 1 online resource.
Item Number 10.1007/978-3-319-14400-9 doi
Call Number Q342
Dewey Decimal Classification 006.3
Summary This carefully edited book takes a walk through recent advances in adaptation and hybridization in the Computational Intelligence (CI) domain. It consists of ten chapters that are divided into three parts. The first part illustrates background information and provides some theoretical foundation tackling the CI domain, the second part deals with the adaptation in CI algorithms, while the third part focuses on the hybridization in CI. This book can serve as an ideal reference for researchers and students of computer science, electrical and civil engineering, economy, and natural sciences that are confronted with solving the optimization, modeling and simulation problems. It covers the recent advances in CI that encompass Nature-inspired algorithms, like Artificial Neural networks, Evolutionary Algorithms and Swarm Intelligence ?based algorithms.
Bibliography, etc. Note Includes bibliographical references and index.
Access Note Access limited to authorized users.
Added Author Fister, Iztok, editor.
Fister, Iztok, Jr., editor.
Series Adaptation. learning and optimization ; volume 18.
Available in Other Form Print version: 9783319143996
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All Resources
Adaptation and Hybridization in Nature-Inspired Algorithms
Adaptation in the Differential Evolution
On the Mutation Operators in Evolution Strategies
Adaptation in Cooperative Coevolutionary Optimization
Study of Lagrangian and Evolutionary Parameters in Krill Herd Algorithm
Solutions of Non-Smooth Economic Dispatch Problems by Swarm Intelligence
Hybrid Artifcial Neural Network for Fire Analysis of Steel Frames
A Differential Evolution Algorithm with A Variable Neighborhood Search for Constrained Function Optimization
A Memetic Differential Evolution Algorithm for the Vehicle Routing Problem with Stochastic Demands.

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