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

9783030440930, 9783030440947
Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Investigating the Use of Geometric Semantic Operators in Vectorial Genetic Programming

2020 ◽  
pp. 52-67
Author(s):  
Irene Azzali ◽  
Leonardo Vanneschi ◽  
Mario Giacobini
Keyword(s):  
Genetic Programming ◽  
Semantic Operators

scholarly journals An Evolutionary View on Reversible Shift-Invariant Transformations

2020 ◽  
pp. 118-134
Author(s):  
Luca Mariot ◽  
Stjepan Picek ◽  
Domagoj Jakobovic ◽  
Alberto Leporati
Keyword(s):  
Evolutionary View

scholarly journals Automatically Evolving Lookup Tables for Function Approximation

2020 ◽  
pp. 84-100
Author(s):  
Oliver Krauss ◽  
William B. Langdon
Keyword(s):  
Function Approximation ◽  
Lookup Tables

scholarly journals Optimising Optimisers with Push GP

2020 ◽  
pp. 101-117 ◽  
Author(s):  
Michael A. Lones

Is k Nearest Neighbours Regression Better Than GP?

2020 ◽  
pp. 244-261
Author(s):  
Leonardo Vanneschi ◽  
Mauro Castelli ◽  
Luca Manzoni ◽  
Sara Silva ◽  
Leonardo Trujillo
Keyword(s):  
Nearest Neighbours ◽  
Better Than

Detection of Frailty Using Genetic Programming

2020 ◽  
pp. 228-243 ◽  
Author(s):  
Adane Tarekegn ◽  
Fulvio Ricceri ◽  
Giuseppe Costa ◽  
Elisa Ferracin ◽  
Mario Giacobini
Keyword(s):  
Genetic Programming
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