The FlexGP framework: FlexGP exploits the multi-level parallelism of GP to tackle large regression problems. FlexGP is composed of a sophisticated learner, a set of launch scripts, and a Java library that provides a TCP/IP communication layer: Multiple Regression Genetic Programming (MRGP) learner; Decentralized launch protocol; Java library for P2P communication; Model fusion via Adaptive Regression by Mixing (ARM)

Keywords for this software

Anything in here will be replaced on browsers that support the canvas element

References in zbMATH (referenced in 1 article , 1 standard article )

Showing result 1 of 1.
Sorted by year (citations)

  1. Kalyan Veeramachaneni; Ignacio Arnaldo; Owen Derby; Una-May O’Reilly: FlexGP (2015) not zbMATH