000 04588nam a22005655i 4500
001 978-1-4419-1626-6
003 DE-He213
005 20160302165452.0
007 cr nn 008mamaa
008 100301s2010 xxu| s |||| 0|eng d
020 _a9781441916266
_9978-1-4419-1626-6
024 7 _a10.1007/978-1-4419-1626-6
_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 VII
_h[electronic resource] /
_cedited by Rick Riolo, Una-May O'Reilly, Trent McConaghy.
264 1 _aBoston, MA :
_bSpringer US,
_c2010.
300 _aXIV, 231 p. 100 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aGenetic and Evolutionary Computation,
_x1932-0167
505 0 _aGPTP 2009: An Example of Evolvability -- Environmental Sensing of Expert Knowledge in a Computational Evolution System for Complex Problem Solving in Human Genetics -- Evolving Coevolutionary Classifiers Under Large Attribute Spaces -- Symbolic Regression Via Genetic Programming as a Discovery Engine: Insights on Outliers and Prototypes -- Symbolic Regression of Implicit Equations -- A Steady-State Version of the Age-Layered Population Structure EA -- Latent Variable Symbolic Regression for High-Dimensional Inputs -- Algorithmic Trading with Developmental and Linear Genetic Programming -- High-Significance Averages of Event-Related Potential Via Genetic Programming -- Using Multi-Objective Genetic Programming to Synthesize Stochastic Processes -- Graph Structured Program Evolution: Evolution of Loop Structures -- A Functional Crossover Operator for Genetic Programming -- Symbolic Regression of Conditional Target Expressions.
520 _aGenetic programming has emerged as an important computational methodology for solving complex problems in a diversity of disciplines. In an effort to foster collaborations and facilitate the exchange of ideas and information related to the rapidly advancing field of Genetic Programming, the annual Genetic Programming Theory and Practice Workshop was organized by the University of Michigan’s Center for the Study of Complex Systems to provide a forum for both those who develop computational theory and those that practice the art of computation. Genetic Programming Theory and Practice VII presents the results of this workshop, contributed by the foremost international researchers and practitioners in the GP arena. Contributions examine the similarities and differences between theoretical and empirical results on real-world problems, and explore the synergy between theory and practice, producing a comprehensive view of the state of the art in GP application. Application areas include chemical process control, circuit design, financial data mining and bio-informatics, to name a few. About this book: Discusses the hurdles encountered when solving large-scale, cutting-edge applications Provides in-depth presentations of the latest and most significant applications of GP and the most recent theoretical results with direct applicability to state-of-the-art problems Contributed by GP theorists from major universities and active practitioners from industry examining how GP theory informs practice and how GP practice impacts GP theory Genetic Programming Theory and Practice VII is suitable for researchers, practitioners and students of Genetic Programming, including industry technical staffs, technical consultants and business entrepreneurs.
650 0 _aComputer science.
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 _aProgramming Techniques.
650 2 4 _aComputing Methodologies.
650 2 4 _aTheory of Computation.
650 2 4 _aAlgorithm Analysis and Problem Complexity.
700 1 _aRiolo, Rick.
_eeditor.
700 1 _aO'Reilly, Una-May.
_eeditor.
700 1 _aMcConaghy, Trent.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9781441916259
830 0 _aGenetic and Evolutionary Computation,
_x1932-0167
856 4 0 _uhttp://dx.doi.org/10.1007/978-1-4419-1626-6
912 _aZDB-2-SCS
999 _c190397
_d190397