000 04144nam a22006015i 4500
001 978-0-387-23254-6
003 DE-He213
005 20160302161254.0
007 cr nn 008mamaa
008 100301s2005 xxu| s |||| 0|eng d
020 _a9780387232546
_9978-0-387-23254-6
024 7 _a10.1007/b101112
_2doi
050 4 _aQ334-342
050 4 _aTJ210.2-211.495
072 7 _aUYQ
_2bicssc
072 7 _aTJFM1
_2bicssc
072 7 _aCOM004000
_2bisacsh
082 0 4 _a006.3
_223
245 1 0 _aGenetic Programming Theory and Practice II
_h[electronic resource] /
_cedited by Una-May O’Reilly, Tina Yu, Rick Riolo, Bill Worzel.
264 1 _aBoston, MA :
_bSpringer US,
_c2005.
300 _aXVI, 320 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 ;
_v8
505 0 _aGenetic Programming: Theory and Practice -- Discovering Financial Technical Trading Rules Using Genetic Programming with Lambda Abstraction -- Using Genetic Programming in Industrial Statistical Model Building -- Population Sizing for Genetic Programming Based on Decision-Making -- Considering the Roles of Structure in Problem Solving by Computer -- Lessons Learned Using Genetic Programming in a Stock Picking Context -- Favourable Biasing of Function Sets Using Run Transferable Libraries -- Toward Automated Design of Industrial-Strength Analog Circuits by Means of Genetic Programming -- Topological Synthesis of Robust Dynamic Systems by Sustainable Genetic Programming -- Does Genetic Programming Inherently Adopt Structured Design Techniques? -- Genetic Programming of an Algorithmic Chemistry -- ACGP: Adaptable Constrained Genetic Programming -- Using Genetic Programming to Search for Supply Chain Reordering Policies -- Cartesian Genetic Programming and the Post Docking Filtering Problem -- Listening to Data: Tuning a Genetic Programming System -- Incident Detection on Highways -- Pareto-Front Exploitation in Symbolic Regression -- An Evolved Antenna for Deployment on Nasa’s Space Technology 5 Mission.
520 _aThis volume explores the emerging interaction between theory and practice in the cutting-edge, machine learning method of Genetic Programming (GP). The contributions developed from a second workshop at the University of Michigan's Center for the Study of Complex Systems where leading international genetic programming theorists from major universities and active practitioners from leading industries and businesses met to examine how GP theory informs practice and how GP practice impacts GP theory. Chapters include such topics as financial trading rules, industrial statistical model building, population sizing, the roles of structure in problem solving by computer, stock picking, automated design of industrial-strength analog circuits, topological synthesis of robust systems, algorithmic chemistry, supply chain reordering policies, post docking filtering, an evolved antenna for a NASA mission and incident detection on highways.
650 0 _aComputer science.
650 0 _aSoftware engineering.
650 0 _aComputer programming.
650 0 _aComputers.
650 0 _aAlgorithms.
650 0 _aArtificial intelligence.
650 1 4 _aComputer Science.
650 2 4 _aArtificial Intelligence (incl. Robotics).
650 2 4 _aSoftware Engineering/Programming and Operating Systems.
650 2 4 _aTheory of Computation.
650 2 4 _aComputing Methodologies.
650 2 4 _aAlgorithm Analysis and Problem Complexity.
650 2 4 _aProgramming Techniques.
700 1 _aO’Reilly, Una-May.
_eeditor.
700 1 _aYu, Tina.
_eeditor.
700 1 _aRiolo, Rick.
_eeditor.
700 1 _aWorzel, Bill.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9780387232539
830 0 _aGenetic Programming,
_x1566-7863 ;
_v8
856 4 0 _uhttp://dx.doi.org/10.1007/b101112
912 _aZDB-2-SCS
999 _c172631
_d172631