Computational Intelligence in Optimization (Record no. 112136)

000 -LEADER
fixed length control field 03793nam a22004935i 4500
001 - CONTROL NUMBER
control field 978-3-642-12775-5
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20140220084536.0
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 100629s2010 gw | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783642127755
-- 978-3-642-12775-5
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-3-642-12775-5
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 Tenne, Yoel.
Relator term editor.
245 10 - TITLE STATEMENT
Title Computational Intelligence in Optimization
Medium [electronic resource] :
Remainder of title Applications and Implementations /
Statement of responsibility, etc edited by Yoel Tenne, Chi-Keong Goh.
264 #1 -
-- Berlin, Heidelberg :
-- Springer Berlin Heidelberg,
-- 2010.
300 ## - PHYSICAL DESCRIPTION
Extent 315p. 74 illus. in color.
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 Adaptation, Learning, and Optimization,
International Standard Serial Number 1867-4534 ;
Volume number/sequential designation 7
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note New Hybrid Intelligent Systems to Solve Linear and Quadratic Optimization Problems and Increase Guaranteed Optimal Convergence Speed of Recurrent ANN -- A Novel Optimization Algorithm Based on Reinforcement Learning -- The Use of Opposition for Decreasing Function Evaluations in Population-Based Search -- Search Procedure Exploiting Locally Regularized Objective Approximation. A Convergence Theorem for Direct Search Algorithms -- Optimization Problems with Cardinality Constraints -- Learning Global Optimization Through a Support Vector Machine Based Adaptive Multistart Strategy -- Multi-Objective Optimization Using Surrogates -- A Review of Agent-Based Co-Evolutionary Algorithms for Multi-Objective Optimization -- A Game Theory-Based Multi-Agent System for Expensive Optimisation Problems -- Optimization with Clifford Support Vector Machines and applications -- A Classification method based on principal component analysis and differential evolution algorithm applied for prediction diagnosis from clinical EMR heart data sets -- An Integrated Approach to Speed Up GA-SVM Feature Selection Model -- Computation in Complex Environments; -- Project Scheduling: Time-Cost Tradeoff Problems -- Systolic VLSI and FPGA Realization of Artificial Neural Networks -- Application of Coarse-Coding Techniques for Evolvable Multirobot Controllers.
520 ## - SUMMARY, ETC.
Summary, etc This volume presents a collection of recent studies covering the spectrum of computational intelligence applications with emphasis on their application to challenging real-world problems. Topics covered include: Intelligent agent-based algorithms, Hybrid intelligent systems, Cognitive and evolutionary robotics, Knowledge-Based Engineering, fuzzy sets and systems, Bioinformatics and Bioengineering, Computational finance and Computational economics, Data mining, Machine learning, and Expert systems. "Computational Intelligence in Optimization" is a comprehensive reference for researchers, practitioners and advanced-level students interested in both the theory and practice of using computational intelligence in real-world applications.
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 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Mathematics.
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).
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Robotics and Automation.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Applications of Mathematics.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Goh, Chi-Keong.
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 9783642127748
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Adaptation, Learning, and Optimization,
-- 1867-4534 ;
Volume number/sequential designation 7
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-3-642-12775-5
912 ## -
-- ZDB-2-ENG

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