Computational Optimization and Applications in Engineering and Industry (Record no. 107881)

000 -LEADER
fixed length control field 03961nam a22004575i 4500
001 - CONTROL NUMBER
control field 978-3-642-20986-4
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20140220083802.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr nn 008mamaa
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 110713s2011 gw | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783642209864
-- 978-3-642-20986-4
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-3-642-20986-4
Source of number or code doi
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number Q342
072 #7 - SUBJECT CATEGORY CODE
Subject category code UYQ
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code COM004000
Source bisacsh
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.3
Edition number 23
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Yang, Xin-She.
Relator term editor.
245 10 - TITLE STATEMENT
Title Computational Optimization and Applications in Engineering and Industry
Medium [electronic resource] /
Statement of responsibility, etc edited by Xin-She Yang, Slawomir Koziel.
264 #1 -
-- Berlin, Heidelberg :
-- Springer Berlin Heidelberg,
-- 2011.
300 ## - PHYSICAL DESCRIPTION
Extent XVI, 271 p.
Other physical details online resource.
336 ## -
-- text
-- txt
-- rdacontent
337 ## -
-- computer
-- c
-- rdamedia
338 ## -
-- online resource
-- cr
-- rdacarrier
347 ## -
-- text file
-- PDF
-- rda
490 1# - SERIES STATEMENT
Series statement Studies in Computational Intelligence,
International Standard Serial Number 1860-949X ;
Volume number/sequential designation 359
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Adjoint-Based Control of Model and Discretization Errors for Gas and Water Supply Networks -- Derivative-Free Optimization for Oil Field Operations -- Simulation-Driven Design in Microwave Engineering: Application Case Studies -- Airfoil Shape Optimization Using Variable-Fidelity Modeling and Shape-Preserving Response Prediction -- Evolutionary Optimisation Techniques to Estimate Input Parameters in Environmental Emergency Modelling -- Harmony Search Algorithms in Structural Engineering -- Waveform Optimization for Integrated Radar and Communication Systems Using Meta-Heuristic Algorithms -- Parameter Estimation from Laser Flash Experiment Data -- Applications of Computational Intelligence in Behavior Simulation -- A New Approach to Network Optimization Using Chaos-Genetic Algorithm.
520 ## - SUMMARY, ETC.
Summary, etc Contemporary design in engineering and industry relies heavily on computer simulation and efficient algorithms to reduce the cost and to maximize the performance and sustainability as well as profits and energy efficiency. Solving an optimization problem correctly and efficiently requires not only the right choice of optimization algorithms and simulation methods, but also the proper implementation and insight into the problem of interest. This book consists of ten self-contained, detailed case studies of real-world optimization problems, selected from a wide range of applications and contributed from worldwide experts who are working in these exciting areas.   Optimization topics and applications include gas and water supply networks, oil field production optimization, microwave engineering, aerodynamic shape design, environmental emergence modelling, structural engineering, waveform design for radar and communication systems, parameter estimation in laser experiment and measurement, engineering materials and network scheduling. These case studies have been solved using a wide range of optimization techniques, including particle swarm optimization, genetic algorithms, artificial bee colony, harmony search, adaptive error control, derivative-free pattern search, surrogate-based optimization, variable-fidelity modelling, as well as various other methods and approaches. This book is a practical guide to help graduates and researchers to carry out optimization for real-world applications. More advanced readers will also find it a helpful reference and aide memoire.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Engineering.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Artificial intelligence.
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Engineering.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computational Intelligence.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Artificial Intelligence (incl. Robotics).
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Koziel, Slawomir.
Relator term editor.
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer eBooks
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9783642209857
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Studies in Computational Intelligence,
-- 1860-949X ;
Volume number/sequential designation 359
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-3-642-20986-4
912 ## -
-- ZDB-2-ENG

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