Lecture Notes in Computer Science - Genetic Programming
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Published By Springer Berlin Heidelberg

9783540786702, 9783540786719

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Semantic Building Blocks in Genetic Programming

Lecture Notes in Computer Science - Genetic Programming ◽

10.1007/978-3-540-78671-9_12 ◽

2008 ◽

pp. 134-145 ◽

Cited By ~ 56

Author(s):

Nicholas Freitag McPhee ◽

Brian Ohs ◽

Tyler Hutchison

Keyword(s):

Genetic Programming ◽

Building Blocks ◽

Semantic Building Blocks

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Applying Cost-Sensitive Multiobjective Genetic Programming to Feature Extraction for Spam E-mail Filtering

Lecture Notes in Computer Science - Genetic Programming ◽

10.1007/978-3-540-78671-9_28 ◽

2008 ◽

pp. 325-336 ◽

Cited By ~ 7

Author(s):

Yang Zhang ◽

HongYu Li ◽

Mahesan Niranjan ◽

Peter Rockett

Keyword(s):

Feature Extraction ◽

Genetic Programming ◽

E Mail

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Exposing a Bias Toward Short-Length Numbers in Grammatical Evolution

Lecture Notes in Computer Science - Genetic Programming ◽

10.1007/978-3-540-78671-9_24 ◽

2008 ◽

pp. 278-288 ◽

Cited By ~ 2

Author(s):

Marco A. Montes de Oca

Keyword(s):

Short Length ◽

Grammatical Evolution

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Evolving Proactive Aggregation Protocols

Lecture Notes in Computer Science - Genetic Programming ◽

10.1007/978-3-540-78671-9_22 ◽

2008 ◽

pp. 254-265 ◽

Cited By ~ 2

Author(s):

Thomas Weise ◽

Michael Zapf ◽

Kurt Geihs

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A Linear Estimation-of-Distribution GP System

Lecture Notes in Computer Science - Genetic Programming ◽

10.1007/978-3-540-78671-9_18 ◽

2008 ◽

pp. 206-217 ◽

Cited By ~ 9

Author(s):

Riccardo Poli ◽

Nicholas Freitag McPhee

Keyword(s):

Linear Estimation ◽

Estimation Of Distribution

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Evolvability Via Modularity-Induced Mutational Focussing

Lecture Notes in Computer Science - Genetic Programming ◽

10.1007/978-3-540-78671-9_17 ◽

2008 ◽

pp. 194-205

Author(s):

Richard M. Downing

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Using Genetic Programming for Turing Machine Induction

Lecture Notes in Computer Science - Genetic Programming ◽

10.1007/978-3-540-78671-9_30 ◽

2008 ◽

pp. 350-361

Author(s):

Amashini Naidoo ◽

Nelishia Pillay

Keyword(s):

Genetic Programming ◽

Turing Machine

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GP Classification under Imbalanced Data sets: Active Sub-sampling and AUC Approximation

Lecture Notes in Computer Science - Genetic Programming ◽

10.1007/978-3-540-78671-9_23 ◽

2008 ◽

pp. 266-277 ◽

Cited By ~ 24

Author(s):

John Doucette ◽

Malcolm I. Heywood

Keyword(s):

Imbalanced Data ◽

Data Sets ◽

Imbalanced Data Sets

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Partitioned Incremental Evolution of Hardware Using Genetic Programming

Lecture Notes in Computer Science - Genetic Programming ◽

10.1007/978-3-540-78671-9_8 ◽

2008 ◽

pp. 86-97 ◽

Cited By ~ 3

Author(s):

David Jackson

Keyword(s):

Genetic Programming ◽

Incremental Evolution

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A Genetic Programming Approach to Deriving the Spectral Sensitivity of an Optical System

Lecture Notes in Computer Science - Genetic Programming ◽

10.1007/978-3-540-78671-9_6 ◽

2008 ◽

pp. 61-72

Author(s):

Marc Ebner

Keyword(s):

Genetic Programming ◽

Spectral Sensitivity ◽

Optical System ◽

Programming Approach

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Lecture Notes in Computer Science - Genetic ProgrammingLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer Berlin Heidelberg

Semantic Building Blocks in Genetic Programming

Applying Cost-Sensitive Multiobjective Genetic Programming to Feature Extraction for Spam E-mail Filtering

Exposing a Bias Toward Short-Length Numbers in Grammatical Evolution

Evolving Proactive Aggregation Protocols

A Linear Estimation-of-Distribution GP System

Evolvability Via Modularity-Induced Mutational Focussing

Using Genetic Programming for Turing Machine Induction

GP Classification under Imbalanced Data sets: Active Sub-sampling and AUC Approximation

Partitioned Incremental Evolution of Hardware Using Genetic Programming

A Genetic Programming Approach to Deriving the Spectral Sensitivity of an Optical System

Lecture Notes in Computer Science - Genetic Programming
Latest Publications