Lecture Notes in Computer Science - Genetic Programming
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Published By Springer International Publishing

9783030728113, 9783030728120
Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Evofficient: Reproducing a Cartesian Genetic Programming Method

2021 ◽  
pp. 162-178
Author(s):  
Lorenz Wendlinger ◽  
Julian Stier ◽  
Michael Granitzer
Keyword(s):  
Genetic Programming ◽  
Programming Method ◽  
Cartesian Genetic Programming

Incremental Evaluation in Genetic Programming

2021 ◽  
pp. 229-246
Author(s):  
William B. Langdon
Keyword(s):  
Genetic Programming ◽  
Incremental Evaluation

Towards Incorporating Human Knowledge in Fuzzy Pattern Tree Evolution

2021 ◽  
pp. 66-81
Author(s):  
Aidan Murphy ◽  
Gráinne Murphy ◽  
Jorge Amaral ◽  
Douglas MotaDias ◽  
Enrique Naredo ◽  
...  
Keyword(s):  
Human Knowledge ◽  
Fuzzy Pattern

scholarly journals Mining Feature Relationships in Data

2021 ◽  
pp. 247-262
Author(s):  
Andrew Lensen

scholarly journals Evolutionary Neural Architecture Search Supporting Approximate Multipliers

2021 ◽  
pp. 82-97
Author(s):  
Michal Pinos ◽  
Vojtech Mrazek ◽  
Lukas Sekanina
Keyword(s):  
Neural Architecture

Progressive Insular Cooperative GP

2021 ◽  
pp. 19-35
Author(s):  
Karina Brotto Rebuli ◽  
Leonardo Vanneschi

scholarly journals Regenerating Soft Robots Through Neural Cellular Automata

2021 ◽  
pp. 36-50
Author(s):  
Kazuya Horibe ◽  
Kathryn Walker ◽  
Sebastian Risi
Keyword(s):  
Cellular Automata ◽  
Soft Robots

Quality Diversity Genetic Programming for Learning Decision Tree Ensembles

2021 ◽  
pp. 3-18
Author(s):  
Stephen Boisvert ◽  
John W. Sheppard
Keyword(s):  
Decision Tree ◽  
Genetic Programming

Software Anti-patterns Detection Under Uncertainty Using a Possibilistic Evolutionary Approach

2021 ◽  
pp. 181-197
Author(s):  
Sofien Boutaib ◽  
Maha Elarbi ◽  
Slim Bechikh ◽  
Chih-Cheng Hung ◽  
Lamjed Ben Said
Keyword(s):  
Evolutionary Approach
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