MARC Record from harvard_bibliographic_metadata

LEADER: 04291nam a22005295a 4500
001 014277513-4
005 20150113020620.0
008 100301s2006 xxu| s ||0| 0|eng d
020 $a9780387281117
020 $a9780387281117
020 $a9780387281100
024 7 $a10.1007/0-387-28111-8$2doi
035 $a(Springer)9780387281117
040 $aSpringer
050 4 $aQA75.5-76.95
072 7 $aUMA$2bicssc
072 7 $aCOM014000$2bisacsh
072 7 $aCOM018000$2bisacsh
082 04 $a006$223
100 1 $aYu, Tina.$eeditor.
245 10 $aGenetic Programming Theory and Practice III /$cedited by Tina Yu, Rick Riolo, Bill Worzel.
264 1 $aBoston, MA :$bSpringer US,$c2006.
300 $aXVI, 310 p.$bonline resource.
336 $atext$btxt$2rdacontent
337 $acomputer$bc$2rdamedia
338 $aonline resource$bcr$2rdacarrier
347 $atext file$bPDF$2rda
490 1 $aGenetic Programming,$x1566-7863 ;$v9
505 0 $aGenetic Programming: Theory and Practice -- Evolving Swarming Agents in Real Time -- Automated Design of a Previously Patented Aspherical Optical Lens System by Means of Genetic Programming -- Discrimination of Unexploded Ordnance from Clutter Using Linear Genetic Programming -- Rapid Re-Evolution of an X-Band Antenna for Nasa’s Space Technology 5 Mission -- Variable Selection in Industrial Datasets Using Pareto Genetic Programming -- A Higher-Order Function Approach to Evolve Recursive Programs -- Trivial Geography in Genetic Programming -- Running Genetic Programming Backwards -- An Examination of Simultaneous Evolution of Grammars and Solutions -- The Importance of Local Search -- Content Diversity in Genetic Programming and Its Correlation with Fitness -- Genetic Programming Inside a Cell -- Evolution on Neutral Networks in Genetic Programming -- The Effects of Size and Depth Limits on Tree Based Genetic Programming -- Application Issues of Genetic Programming in Industry -- Challenges in Open-Ended Problem Solving with Genetic Programming -- Domain Specificity of Genetic Programming Based Automated Synthesis: A Case Study with Synthesis of Mechanical Vibration Absorbers -- Genetic Programming in Industrial Analog CAD: Applications and Challenges.
520 $aGenetic Programming Theory and Practice III explores the emerging interaction between theory and practice in the cutting-edge, machine learning method of Genetic Programming (GP). This contributed volume was developed from the third workshop at the University of Michigan’s Center for the Study of Complex Systems to facilitate the exchange of ideas and information related to this rapidly advancing field. The text provides a cohesive view of the issues facing both practitioners and theoreticians and examines the synergy between GP theory and application. The foremost international researchers and practitioners in the GP arena contributed to the volume, discussing such topics as: techniques to enhance GP capabilities with real-world applications and real-world application success stories from a variety of domains, including chemical and process control, informatics, and circuit design visualization models to understand GP processing and open challenges facing the community and potential research directions Genetic Programming Theory and Practice III provides the most recent developments in GP theory, practice, and the integration of theory and practice. This text, the result of an extensive dialog between GP theoreticians and practitioners, is a unique and indispensable tool for both academics and industry professionals interested in the GP realm.
650 0 $aComputer science.
650 0 $aInformation theory.
650 0 $aComputer software.
650 0 $aElectronic data processing.
650 0 $aArtificial intelligence.
650 14 $aComputer Science.
650 24 $aComputing Methodologies.
650 24 $aArtificial Intelligence (incl. Robotics).
650 24 $aTheory of Computation.
650 24 $aAlgorithm Analysis and Problem Complexity.
650 24 $aProgramming Techniques.
700 1 $aRiolo, Rick.$eeditor.
700 1 $aWorzel, Bill.$eeditor.
776 08 $iPrinted edition:$z9780387281100
830 0 $aGenetic Programming,$x1566-7863 ;$v9
988 $a20150113
906 $0VEN