Adaptation and Hybridization in Computational Intelligence (Record no. 55590)

000 -LEADER
fixed length control field 03180nam a22004815i 4500
001 - CONTROL NUMBER
control field 978-3-319-14400-9
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20200421111842.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 150124s2015 gw | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783319144009
-- 978-3-319-14400-9
082 04 - CLASSIFICATION NUMBER
Call Number 006.3
245 10 - TITLE STATEMENT
Title Adaptation and Hybridization in Computational Intelligence
300 ## - PHYSICAL DESCRIPTION
Number of Pages X, 237 p. 42 illus., 1 illus. in color.
490 1# - SERIES STATEMENT
Series statement Adaptation, Learning, and Optimization,
505 0# - FORMATTED CONTENTS NOTE
Remark 2 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.
520 ## - SUMMARY, ETC.
Summary, etc   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.  .
700 1# - AUTHOR 2
Author 2 Fister, Iztok.
700 1# - AUTHOR 2
Author 2 Fister Jr., Iztok.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-3-319-14400-9
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Cham :
-- Springer International Publishing :
-- Imprint: Springer,
-- 2015.
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-- text
-- txt
-- rdacontent
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-- computer
-- c
-- rdamedia
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-- online resource
-- cr
-- rdacarrier
347 ## -
-- text file
-- PDF
-- rda
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Engineering.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Artificial intelligence.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computational intelligence.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Engineering.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computational Intelligence.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Artificial Intelligence (incl. Robotics).
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
-- 1867-4534 ;
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-- ZDB-2-ENG

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