This paper represents the first exploration into the use of ge- netic programming for automating the discovery and algo- rithm design of graph models, ...

This paper represents the first exploration into the use of genetic programming for automating the discovery and algorithm design of graph models, representing ...

Automatic Generation of Graph Models for Complex. Networks by Genetic Programming. Alexander Bailey. Brock University. St. Catharines, Canada [email protected].

Sep 11, 2013 · A graph model is an algorithm capable of constructing arbitrarily sized networks, whose end structure will exhibit certain statistical and ...

This paper represents the first exploration into the use of genetic programming for automating the discovery and algorithm design of graph models, representing ...

This paper proposes a Genetic Programming (GP) method for the automatic generation of graph models for complex networks. Genetic programming is a natural fit to ...

Automatic generation of graph models for complex networks by genetic programming. Created by W.Langdon from gp-bibliography.bib Revision:1.8051.

This paper proposes solutions to problems of an automated approach based on genetic programming and shows experimentally that the new system represents a ...

Oct 22, 2024 · In [11] a new approach for automatic graph generation has been proposed using genetic programming (Fig. 1). Given the target network as G t , ...

We present exciting initial results that show the potential of GP to replicate existing complex network algorithms. References 17. Citations 9. Stats.