Wave: A Heterogeneous Genetic Programming Approach to Divide and Conquer

Azad, R. Muhammad Atif and Medernach, David and Fitzgerald, Jeannie and Ryan, Conor (2015) Wave: A Heterogeneous Genetic Programming Approach to Divide and Conquer. In: GECCO '15: Proceedings of the 17th international conference on Genetic and evolutionary computation companion. ACM, Madrid, Spain.

Full text not available from this repository. (Request a copy)

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
.

Item Type: Book Section
Subjects: G400 Computer Science
Divisions: Faculty of Computing, Engineering and the Built Environment
Faculty of Computing, Engineering and the Built Environment > School of Computing and Digital Technology
Faculty of Computing, Engineering and the Built Environment > School of Computing and Digital Technology > Enterprise Systems
UoA Collections > UoA11: Computer Science and Informatics
Depositing User: Oana-Andreea Dumitrascu
Date Deposited: 12 Jun 2017 12:19
Last Modified: 11 Oct 2017 06:55
URI: http://www.open-access.bcu.ac.uk/id/eprint/4597

Actions (login required)

View Item View Item

Research

In this section...