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.

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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
Dates:	Date Event 2015 Published
Subjects:	CAH11 - computing > CAH11-01 - computing > CAH11-01-01 - computer science
Divisions:	Faculty of Computing, Engineering and the Built Environment Faculty of Computing, Engineering and the Built Environment > College of Computing
Depositing User:	Oana-Andreea Dumitrascu
Date Deposited:	12 Jun 2017 12:19
Last Modified:	22 Mar 2023 12:01
URI:	https://www.open-access.bcu.ac.uk/id/eprint/4597

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