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

9783030166694, 9783030166700
Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Fast DENSER: Efficient Deep NeuroEvolution

2019 ◽  
pp. 197-212 ◽  
Author(s):  
Filipe Assunção ◽  
Nuno Lourenço ◽  
Penousal Machado ◽  
Bernardete Ribeiro

Complex Network Analysis of a Genetic Programming Phenotype Network

2019 ◽  
pp. 49-63 ◽  
Author(s):  
Ting Hu ◽  
Marco Tomassini ◽  
Wolfgang Banzhaf
Keyword(s):  
Network Analysis ◽  
Genetic Programming ◽  
Complex Network ◽  
Complex Network Analysis ◽  
Phenotype Network

Solution and Fitness Evolution (SAFE): Coevolving Solutions and Their Objective Functions

2019 ◽  
pp. 146-161 ◽  
Author(s):  
Moshe Sipper ◽  
Jason H. Moore ◽  
Ryan J. Urbanowicz
Keyword(s):  
Objective Functions

Towards a Scalable EA-Based Optimization of Digital Circuits

2019 ◽  
pp. 81-97 ◽  
Author(s):  
Jitka Kocnova ◽  
Zdenek Vasicek
Keyword(s):  
Digital Circuits

scholarly journals A Vectorial Approach to Genetic Programming

2019 ◽  
pp. 213-227 ◽  
Author(s):  
Irene Azzali ◽  
Leonardo Vanneschi ◽  
Sara Silva ◽  
Illya Bakurov ◽  
Mario Giacobini
Keyword(s):  
Genetic Programming ◽  
Vectorial Approach

Improving Genetic Programming with Novel Exploration - Exploitation Control

2019 ◽  
pp. 64-80 ◽  
Author(s):  
Jonathan Kelly ◽  
Erik Hemberg ◽  
Una-May O’Reilly
Keyword(s):  
Genetic Programming ◽  
Exploration Exploitation

scholarly journals Can Genetic Programming Do Manifold Learning Too?

2019 ◽  
pp. 114-130 ◽  
Author(s):  
Andrew Lensen ◽  
Bing Xue ◽  
Mengjie Zhang
Keyword(s):  
Genetic Programming ◽  
Manifold Learning

scholarly journals Evolving AVX512 Parallel C Code Using GP

2019 ◽  
pp. 245-261
Author(s):  
William B. Langdon ◽  
Ronny Lorenz

Why Is Auto-Encoding Difficult for Genetic Programming?

2019 ◽  
pp. 131-145 ◽  
Author(s):  
James McDermott
Keyword(s):  
Genetic Programming

Hyper-bent Boolean Functions and Evolutionary Algorithms

2019 ◽  
pp. 262-277 ◽  
Author(s):  
Luca Mariot ◽  
Domagoj Jakobovic ◽  
Alberto Leporati ◽  
Stjepan Picek
Keyword(s):  
Evolutionary Algorithms ◽  
Boolean Functions
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