Genetic Programming Theory and Practice XVII - Genetic and Evolutionary Computation
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TOTAL DOCUMENTS

(FIVE YEARS 19)

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(FIVE YEARS 2)

Published By Springer International Publishing

9783030399573, 9783030399580

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Using Modularity Metrics as Design Features to Guide Evolution in Genetic Programming

Genetic Programming Theory and Practice XVII - Genetic and Evolutionary Computation ◽

10.1007/978-3-030-39958-0_9 ◽

2020 ◽

pp. 165-180 ◽

Cited By ~ 1

Author(s):

Anil Kumar Saini ◽

Lee Spector

Keyword(s):

Genetic Programming ◽

Design Features

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How Competitive Is Genetic Programming in Business Data Science Applications?

Genetic Programming Theory and Practice XVII - Genetic and Evolutionary Computation ◽

10.1007/978-3-030-39958-0_8 ◽

2020 ◽

pp. 145-163

Author(s):

Arthur Kordon ◽

Theresa Kotanchek ◽

Mark Kotanchek

Keyword(s):

Genetic Programming ◽

Data Science ◽

Business Data

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Explorations of the Semantic Learning Machine Neuroevolution Algorithm: Dynamic Training Data Use, Ensemble Construction Methods, and Deep Learning Perspectives

Genetic Programming Theory and Practice XVII - Genetic and Evolutionary Computation ◽

10.1007/978-3-030-39958-0_3 ◽

2020 ◽

pp. 39-62

Author(s):

Ivo Gonçalves ◽

Marta Seca ◽

Mauro Castelli

Keyword(s):

Deep Learning ◽

Data Use ◽

Training Data ◽

Semantic Learning ◽

Construction Methods ◽

Learning Machine

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An Evolutionary System for Better Automatic Software Repair

Genetic Programming Theory and Practice XVII - Genetic and Evolutionary Computation ◽

10.1007/978-3-030-39958-0_19 ◽

2020 ◽

pp. 383-406

Author(s):

Yuan Yuan ◽

Wolfgang Banzhaf

Keyword(s):

Evolutionary System ◽

Automatic Software

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New Pathways in Coevolutionary Computation

Genetic Programming Theory and Practice XVII - Genetic and Evolutionary Computation ◽

10.1007/978-3-030-39958-0_15 ◽

2020 ◽

pp. 295-305

Author(s):

Moshe Sipper ◽

Jason H. Moore ◽

Ryan J. Urbanowicz

Keyword(s):

Coevolutionary Computation

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Characterizing the Effects of Random Subsampling on Lexicase Selection

Genetic Programming Theory and Practice XVII - Genetic and Evolutionary Computation ◽

10.1007/978-3-030-39958-0_1 ◽

2020 ◽

pp. 1-23 ◽

Cited By ~ 2

Author(s):

Austin J. Ferguson ◽

Jose Guadalupe Hernandez ◽

Daniel Junghans ◽

Alexander Lalejini ◽

Emily Dolson ◽

...

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Enhanced Optimization with Composite Objectives and Novelty Pulsation

Genetic Programming Theory and Practice XVII - Genetic and Evolutionary Computation ◽

10.1007/978-3-030-39958-0_14 ◽

2020 ◽

pp. 275-293

Author(s):

Hormoz Shahrzad ◽

Babak Hodjat ◽

Camille Dollé ◽

Andrei Denissov ◽

Simon Lau ◽

...

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The Evolution of Representations in Genetic Programming Trees

Genetic Programming Theory and Practice XVII - Genetic and Evolutionary Computation ◽

10.1007/978-3-030-39958-0_7 ◽

2020 ◽

pp. 121-143

Author(s):

Douglas Kirkpatrick ◽

Arend Hintze

Keyword(s):

Genetic Programming

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Can Genetic Programming Perform Explainable Machine Learning for Bioinformatics?

Genetic Programming Theory and Practice XVII - Genetic and Evolutionary Computation ◽

10.1007/978-3-030-39958-0_4 ◽

2020 ◽

pp. 63-77

Author(s):

Ting Hu

Keyword(s):

Machine Learning ◽

Genetic Programming

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Modelling Genetic Programming as a Simple Sampling Algorithm

Genetic Programming Theory and Practice XVII - Genetic and Evolutionary Computation ◽

10.1007/978-3-030-39958-0_18 ◽

2020 ◽

pp. 367-381

Author(s):

David R. White ◽

Benjamin Fowler ◽

Wolfgang Banzhaf ◽

Earl T. Barr

Keyword(s):

Genetic Programming ◽

Sampling Algorithm ◽

Simple Sampling

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Genetic Programming Theory and Practice XVII - Genetic and Evolutionary ComputationLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Using Modularity Metrics as Design Features to Guide Evolution in Genetic Programming

How Competitive Is Genetic Programming in Business Data Science Applications?

Explorations of the Semantic Learning Machine Neuroevolution Algorithm: Dynamic Training Data Use, Ensemble Construction Methods, and Deep Learning Perspectives

An Evolutionary System for Better Automatic Software Repair

New Pathways in Coevolutionary Computation

Characterizing the Effects of Random Subsampling on Lexicase Selection

Enhanced Optimization with Composite Objectives and Novelty Pulsation

The Evolution of Representations in Genetic Programming Trees

Can Genetic Programming Perform Explainable Machine Learning for Bioinformatics?

Modelling Genetic Programming as a Simple Sampling Algorithm

Genetic Programming Theory and Practice XVII - Genetic and Evolutionary Computation
Latest Publications