GPML: an XML-based standard for the interchange of genetic programming trees
Tiantian Dou, Yuri Kaszubowski Lopes, Peter I. Rockett, Elizabeth Abigail Hathway, Esmail Mahmoudi Saber · Genetic Programming and Evolvable Machines · 2019
Abstract We propose a genetic programming markup language (GPML), an XML-based standard for the interchange of genetic programming trees, and outline the benefits such a format would bring in allowing the deployment of trained genetic programming (GP) models in applications as well as the subsidiary benefit of allowing GP researchers to directly share trained trees. We present a formal definition of this standard and describe details of an implementation. In addition, we present a case study where GPML is used to implement a model predictive controller for the control of a building heating plant.