Swinburne
Browse

A note on research methodology and benchmarking optimization algorithms

Download (65.44 kB)
report
posted on 2024-07-11, 18:02 authored by Jason Brownlee
A pervasive problem in the field of optimization algorithms is the lack of meaningful and consistent algorithm benchmarking methodology. This includes but is not limited to issues of the selection of problem instances, the selection of algorithm specifications the algorithm configuration parameters and interpretation of results. The intention of this paper is to summarize the literature related to benchmarking optimization algorithms with a focus on benchmarking in the face of the 'no free lunch' theorem and useful statistical tools for interpreting results. This context for this review is biologically inspired optimization algorithms applied to continuous function optimization although the principles extend beyond these themes.

History

Parent title

Complex Intelligent Systems: technical reports

Publisher

Swinburne University of Technology

Copyright statement

Copyright © 2007 Jason Brownlee.

Language

eng

Usage metrics

    Publications

    Categories

    No categories selected

    Keywords

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC