Can Single Solution Optimisation Methods Be Structurally Biased?

Date

2020-02-19

Advisors

Journal Title

Journal ISSN

ISSN

Volume Title

Publisher

MDPI

Type

Article

Peer reviewed

Yes

Abstract

This paper investigates whether optimisation methods with the population made up of one solution can suffer from structural bias just like their multisolution variants. Following recent results highlighting the importance of choice of strategy for handling solutions generated outside the domain, a selection of single solution methods are considered in conjunction with several such strategies. Obtained results are tested for the presence of structural bias by means of a traditional approach from literature and a newly proposed here statistical approach. These two tests are demonstrated to be not fully consistent. All tested methods are found to be structurally biased with at least one of the tested strategies. Confirming results for multisolution methods, it is such strategy that is shown to control the emergence of structural bias in single solution methods. Some of the tested methods exhibit a kind of structural bias that has not been observed before.

Description

open access article

Keywords

structural bias, algorithmic design, hypothesis testing, single solution methods, constraint handling

Citation

Kononova, A.V., Caraffini, F., Wang, H., Back, T. (2020) Can Single Solution Optimisation Methods Be Structurally Biased? Preprints, 2020020277.

Rights

Research Institute