TY - GEN
T1 - On the architecture and implementation of tree-based genetic programming in HeuristicLab
AU - Kommenda, Michael
AU - Kronberger, Gabriel
AU - Wagner, Stefan
AU - Winkler, Stephan
AU - Affenzeller, Michael
N1 - Copyright:
Copyright 2012 Elsevier B.V., All rights reserved.
PY - 2012
Y1 - 2012
N2 - This article describes the architecture and implementation of the genetic programming (GP) framework of HeuristicLab. In particular we focus on the core design goals, namely extensibility, usability, and performance optimization and explain our approach to reach these goals. The overall design, the encoding, interpretation, and evaluation of programs is described and code examples are given to explain core aspects of the framework.
AB - This article describes the architecture and implementation of the genetic programming (GP) framework of HeuristicLab. In particular we focus on the core design goals, namely extensibility, usability, and performance optimization and explain our approach to reach these goals. The overall design, the encoding, interpretation, and evaluation of programs is described and code examples are given to explain core aspects of the framework.
KW - Genetic programming
KW - HeuristicLab
KW - Symbolic regression
UR - http://www.scopus.com/inward/record.url?scp=84865008924&partnerID=8YFLogxK
U2 - 10.1145/2330784.2330801
DO - 10.1145/2330784.2330801
M3 - Conference contribution
SN - 9781450311786
T3 - GECCO'12 - Proceedings of the 14th International Conference on Genetic and Evolutionary Computation Companion
SP - 101
EP - 108
BT - GECCO'12 - Proceedings of the 14th International Conference on Genetic and Evolutionary Computation Companion
PB - ACM Sigevo
T2 - 14th International Conference on Genetic and Evolutionary Computation, GECCO'12
Y2 - 7 July 2012 through 11 July 2012
ER -