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001 978-0-387-49650-4
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020 _a9780387496504
_9978-0-387-49650-4
024 7 _a10.1007/978-0-387-49650-4
_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 IV
_h[electronic resource] /
_cedited by Rick Riolo, Terence Soule, Bill Worzel.
264 1 _aBoston, MA :
_bSpringer US,
_c2007.
300 _aXVI, 338 p. 200 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 _aGenetic Programming: Theory and Practice -- Genome-Wide Genetic Analysis Using Genetic Programming: The Critical Need for Expert Knowledge -- Lifting the Curse of Dimensionality -- Genetic Programming for Classifying Cancer Data and Controlling Humanoid Robots -- Boosting Improves Stability and Accuracy of Genetic Programming in Biological Sequence Classification -- Orthogonal Evolution of Teams: A Class of Algorithms for Evolving Teams with Inversely Correlated Errors -- Multidimensional Tags, Cooperative Populations, and Genetic Programming -- Coevolving Fitness Models for Accelerating Evolution and Reducing Evaluations -- Multi-Domain Observations Concerning the Use of Genetic Programming to Automatically Synthesize Human-Competitive Designs for Analog Circuits, Optical Lens Systems, Controllers, Antennas, Mechanical Systems, and Quantum Computing Circuits -- Robust Pareto Front Genetic Programming Parameter Selection Based on Design of Experiments and Industrial Data -- Pursuing the Pareto Paradigm: Tournaments, Algorithm Variations and Ordinal Optimization -- Applying Genetic Programming to Reservoir History Matching Problem -- Comparison of Robustness of Three Filter Design Strategies Using Genetic Programming and Bond Graphs -- Design of Posynomial Models for Mosfets: Symbolic Regression Using Genetic Algorithms -- Phase Transitions in Genetic Programming Search -- Efficient Markov Chain Model of Machine Code Program Execution and Halting -- A Re-Examination of a Real World Blood Flow Modeling Problem Using Context-Aware Crossover -- Large-Scale, Time-Constrained Symbolic Regression -- Stock Selection: An Innovative Application of Genetic Programming Methodology.
520 _aGenetic Programming Theory and Practice IV was developed from the fourth workshop at the University of Michigan’s Center for the Study of Complex Systems to facilitate the exchange of ideas and information related to the rapidly advancing field of Genetic Programming (GP). Contributions from the foremost international researchers and practitioners in the GP arena examine the similarities and differences between theoretical and empirical results on real-world problems. The text explores the synergy between theory and practice, producing a comprehensive view of the state of the art in GP application. This valuable reference discusses the hurdles faced in solving large-scale, cutting edge applications, describes promising techniques, including fitness approximation, Pareto optimization, cooperative teams, solution caching, and experiment control, and investigates evolutionary approaches such as financial modeling, bioinformatics, symbolic regression for system modeling, and evolutionary design of circuits and robot controllers. Genetic Programming Theory and Practice IV represents a watershed moment in the GP field in that GP has begun to move from hand-crafted software used primarily in academic research, to an engineering methodology applied to commercial applications. It is a unique and indispensable tool for academics, researchers and industry professionals involved in GP, evolutionary computation, machine learning and artificial intelligence.
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 _aComputing Methodologies.
650 2 4 _aTheory of Computation.
650 2 4 _aAlgorithm Analysis and Problem Complexity.
650 2 4 _aProgramming Techniques.
700 1 _aRiolo, Rick.
_eeditor.
700 1 _aSoule, Terence.
_eeditor.
700 1 _aWorzel, Bill.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9780387333755
830 0 _aGenetic and Evolutionary Computation,
_x1932-0167
856 4 0 _uhttp://dx.doi.org/10.1007/978-0-387-49650-4
912 _aZDB-2-SCS
999 _c177776
_d177776