@inproceedings{d35e818a874f471a87c38baeef4eda54,
title = "Wave: A genetic programming approach to divide and conquer",
abstract = "This work introduces Wave, a divide and conquer approach to GP whereby a sequence of short, and dependent but potentially heterogeneous GP runs provides a collective solution; the sequence akins a wave such that each short GP run is a period of the wave. Heterogeneity across periods results from varying settings of system parameters, such as population size or number of generations, and also by alternating use of the popular GP technique known as linear scaling.",
keywords = "Genetic algorithms, Genetic programming, Semantic GP",
author = "David Medernach and Jeannie Fitzgerald and Azad, {R. Muhammad Atif} and Conor Ryan",
year = "2015",
month = jul,
day = "11",
doi = "10.1145/2739482.2764659",
language = "English",
series = "GECCO 2015 - Companion Publication of the 2015 Genetic and Evolutionary Computation Conference",
publisher = "Association for Computing Machinery, Inc",
pages = "1435--1436",
editor = "Sara Silva",
booktitle = "GECCO 2015 - Companion Publication of the 2015 Genetic and Evolutionary Computation Conference",
note = "17th Genetic and Evolutionary Computation Conference, GECCO 2015 ; Conference date: 11-07-2015 Through 15-07-2015",
}