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Genetic Programming Theory and Practice X (Record no. 21347)

000 -LEADER
fixed length control field 04273nam a22005055i 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20140310151114.0
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 130524s2013 xxu| s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781461468462
978-1-4614-6846-2
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number Q334-342
Classification number TJ210.2-211.495
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.3
Edition number 23
264 #1 -
-- New York, NY :
-- Springer New York :
-- Imprint: Springer,
-- 2013.
912 ## -
-- ZDB-2-SCS
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Riolo, Rick.
Relator term editor.
245 10 - IMMEDIATE SOURCE OF ACQUISITION NOTE
Title Genetic Programming Theory and Practice X
Medium [electronic resource] /
Statement of responsibility, etc edited by Rick Riolo, Ekaterina Vladislavleva, Marylyn D Ritchie, Jason H. Moore.
300 ## - PHYSICAL DESCRIPTION
Extent XXVI, 242 p. 71 illus., 26 illus. in color.
Other physical details online resource.
440 1# - SERIES STATEMENT/ADDED ENTRY--TITLE
Title Genetic and Evolutionary Computation,
International Standard Serial Number 1932-0167
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Evolving SQL Queries from Examples with Developmental Genetic Programming -- A Practical Platform for On-Line Genetic Programming for Robotics -- Cartesian Genetic Programming for Image Processing -- A new mutation paradigm for Genetic Programming -- Introducing an Age-Varying Fitness Estimation Function -- EC-Star: A Massive-Scale, Hub and Spoke, Distributed Genetic Programming System -- Genetic Analysis of Prostate Cancer Using Computational Evolution, Pareto-Optimization and Post-Processing -- Meta-dimensional analysis of phenotypes using the Analysis Tool for Heritable and Environmental Network Associations -- A Baseline Symbolic Regression Algorithm -- Symbolic Regression Model Comparison Approach Using Transmitted Variation -- A Framework for the Empirical Analysis of Genetic Programming System Performance -- More or Less? Two Approaches to Evolving Game-Playing Strategies -- Symbolic Regression is Not Enough -- FlexGP.py: Prototyping Flexibly-Scaled, Flexibly-Factored Genetic Programming for the Cloud -- Representing Communication and Learning in Femtocell Pilot Power Control Algorithms.
520 ## - SUMMARY, ETC.
Summary, etc These contributions, written by the foremost international researchers and practitioners of Genetic Programming (GP), explore the synergy between theoretical and empirical results on real-world problems, producing a comprehensive view of the state of the art in GP. Topics in this volume include: evolutionary constraints, relaxation of selection mechanisms, diversity preservation strategies, flexing fitness evaluation, evolution in dynamic environments, multi-objective and multi-modal selection, foundations of evolvability, evolvable and adaptive evolutionary operators, foundation of  injecting expert knowledge in evolutionary search, analysis of problem difficulty and required GP algorithm complexity, foundations in running GP on the cloud – communication, cooperation, flexible implementation, and ensemble methods. Additional focal points for GP symbolic regression are: (1) The need to guarantee convergence to solutions in the function discovery mode; (2) Issues on model validation; (3) The need for model analysis workflows for insight generation based on generated GP solutions – model exploration, visualization, variable selection, dimensionality analysis; (4) Issues in combining different types of data. Readers will discover large-scale, real-world applications of GP to a variety of problem domains via in-depth presentations of the latest and most significant results.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer science.
Topical term or geographic name as entry element Information theory.
Topical term or geographic name as entry element Computer software.
Topical term or geographic name as entry element Artificial intelligence.
Topical term or geographic name as entry element Computer Science.
Topical term or geographic name as entry element Artificial Intelligence (incl. Robotics).
Topical term or geographic name as entry element Theory of Computation.
Topical term or geographic name as entry element Algorithm Analysis and Problem Complexity.
Topical term or geographic name as entry element Programming Techniques.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Vladislavleva, Ekaterina.
Relator term editor.
Personal name Ritchie, Marylyn D.
Relator term editor.
Personal name Moore, Jason H.
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 9781461468455
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-1-4614-6846-2
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Item type E-Book
Copies
Price effective from Permanent location Date last seen Not for loan Date acquired Source of classification or shelving scheme Koha item type Damaged status Lost status Withdrawn status Current location Full call number
2014-04-09AUM Main Library2014-04-09 2014-04-09 E-Book   AUM Main Library006.3

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