Editorial introduction

  • Lee Spector

Welcome to Volume 19 of Genetic Programming and Evolvable Machines.

Volume 18 featured research articles on several forms of evolutionary computation, applied to the discovery or refinement of executable structures in domains ranging from finance to music composition, and from robotics to peer-to-peer networks. It included deep dives into the techniques used in several distinct approaches to genetic programming, with an accidental, but nonetheless interesting, minor emphasis on the evolution of recursive processes.

Volume 18 also featured a special issue on Genetic Improvement, edited by Justyna Petke, and a special peer commentary section on a target article by Peter A. Whigham, Grant Dick, and James Maclaurin: Mapping of Genotype to Phenotype in Evolutionary Algorithms. The special section included seven commentaries written by ten members of the editorial board and their invitees, along with a response to the commentaries by the target article authors, and it featured spirited...



This material is based upon work supported by the National Science Foundation under Grant No. 1617087. Any opinions, findings, and conclusions or recommendations expressed in this publication are those of the authors and do not necessarily reflect the views of the National Science Foundation.

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.School of Cognitive ScienceHampshire CollegeAmherstUSA

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