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Metaheuristics “In the Large”

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Metaheuristics “In the Large”. / Swan, Jerry; Adriaensen, Steven; Brownlee, Alexander E.I. et al.

In: European Journal of Operational Research, Vol. 297, No. 2, 31.03.2022, p. 393-406.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Swan, J, Adriaensen, S, Brownlee, AEI, Hammond, K, Johnson, CG, Kheiri, A, Krawiec, F, Merelo, JJ, Minku, LL, Özcan, E, Pappa, GL, García-Sánchez, P, Sörensen, K, Voß, S, Wagner, M & White, DR 2022, 'Metaheuristics “In the Large”', European Journal of Operational Research, vol. 297, no. 2, pp. 393-406. https://doi.org/10.1016/j.ejor.2021.05.042

APA

Swan, J., Adriaensen, S., Brownlee, A. E. I., Hammond, K., Johnson, C. G., Kheiri, A., Krawiec, F., Merelo, J. J., Minku, L. L., Özcan, E., Pappa, G. L., García-Sánchez, P., Sörensen, K., Voß, S., Wagner, M., & White, D. R. (2022). Metaheuristics “In the Large”. European Journal of Operational Research, 297(2), 393-406. https://doi.org/10.1016/j.ejor.2021.05.042

Vancouver

Swan J, Adriaensen S, Brownlee AEI, Hammond K, Johnson CG, Kheiri A et al. Metaheuristics “In the Large”. European Journal of Operational Research. 2022 Mar 31;297(2):393-406. Epub 2021 Jun 6. doi: 10.1016/j.ejor.2021.05.042

Author

Swan, Jerry ; Adriaensen, Steven ; Brownlee, Alexander E.I. et al. / Metaheuristics “In the Large”. In: European Journal of Operational Research. 2022 ; Vol. 297, No. 2. pp. 393-406.

Bibtex

@article{4600d3579a0d41ba8ac3984ad3040e07,
title = "Metaheuristics “In the Large”",
abstract = "Following decades of sustained improvement, metaheuristics are one of the great success stories of optimization research. However, in order for research in metaheuristics to avoid fragmentation and a lack of reproducibility, there is a pressing need for stronger scientific and computational infrastructure to support the development, analysis and comparison of new approaches. To this end, we present the vision and progress of the Metaheuristics “In the Large” project. The conceptual underpinnings of the project are: truly extensible algorithm templates that support reuse without modification, white box problem descriptions that provide generic support for the injection of domain specific knowledge, and remotely accessible frameworks, components and problems that will enhance reproducibility and accelerate the field{\textquoteright}s progress. We argue that, via such principled choice of infrastructure support, the field can pursue a higher level of scientific enquiry. We describe our vision and report on progress, showing how the adoption of common protocols for all metaheuristics can help liberate the potential of the field, easing the exploration of the design space of metaheuristics.",
keywords = "Evolutionary Computation, Operational Research, Heuristic design, Heuristic methods, Architecture, Frameworks, Interoperability",
author = "Jerry Swan and Steven Adriaensen and Brownlee, {Alexander E.I.} and Kevin Hammond and Johnson, {Colin G.} and Ahmed Kheiri and Faustyna Krawiec and J.J. Merelo and Minku, {Leandro L.} and Ender {\"O}zcan and Pappa, {Gisele L.} and Pablo Garc{\'i}a-S{\'a}nchez and Kenneth S{\"o}rensen and Stefan Vo{\ss} and Markus Wagner and White, {David R.}",
year = "2022",
month = mar,
day = "31",
doi = "10.1016/j.ejor.2021.05.042",
language = "English",
volume = "297",
pages = "393--406",
journal = "European Journal of Operational Research",
issn = "0377-2217",
publisher = "Elsevier Science B.V.",
number = "2",

}

RIS

TY - JOUR

T1 - Metaheuristics “In the Large”

AU - Swan, Jerry

AU - Adriaensen, Steven

AU - Brownlee, Alexander E.I.

AU - Hammond, Kevin

AU - Johnson, Colin G.

AU - Kheiri, Ahmed

AU - Krawiec, Faustyna

AU - Merelo, J.J.

AU - Minku, Leandro L.

AU - Özcan, Ender

AU - Pappa, Gisele L.

AU - García-Sánchez, Pablo

AU - Sörensen, Kenneth

AU - Voß, Stefan

AU - Wagner, Markus

AU - White, David R.

PY - 2022/3/31

Y1 - 2022/3/31

N2 - Following decades of sustained improvement, metaheuristics are one of the great success stories of optimization research. However, in order for research in metaheuristics to avoid fragmentation and a lack of reproducibility, there is a pressing need for stronger scientific and computational infrastructure to support the development, analysis and comparison of new approaches. To this end, we present the vision and progress of the Metaheuristics “In the Large” project. The conceptual underpinnings of the project are: truly extensible algorithm templates that support reuse without modification, white box problem descriptions that provide generic support for the injection of domain specific knowledge, and remotely accessible frameworks, components and problems that will enhance reproducibility and accelerate the field’s progress. We argue that, via such principled choice of infrastructure support, the field can pursue a higher level of scientific enquiry. We describe our vision and report on progress, showing how the adoption of common protocols for all metaheuristics can help liberate the potential of the field, easing the exploration of the design space of metaheuristics.

AB - Following decades of sustained improvement, metaheuristics are one of the great success stories of optimization research. However, in order for research in metaheuristics to avoid fragmentation and a lack of reproducibility, there is a pressing need for stronger scientific and computational infrastructure to support the development, analysis and comparison of new approaches. To this end, we present the vision and progress of the Metaheuristics “In the Large” project. The conceptual underpinnings of the project are: truly extensible algorithm templates that support reuse without modification, white box problem descriptions that provide generic support for the injection of domain specific knowledge, and remotely accessible frameworks, components and problems that will enhance reproducibility and accelerate the field’s progress. We argue that, via such principled choice of infrastructure support, the field can pursue a higher level of scientific enquiry. We describe our vision and report on progress, showing how the adoption of common protocols for all metaheuristics can help liberate the potential of the field, easing the exploration of the design space of metaheuristics.

KW - Evolutionary Computation

KW - Operational Research

KW - Heuristic design

KW - Heuristic methods

KW - Architecture

KW - Frameworks

KW - Interoperability

U2 - 10.1016/j.ejor.2021.05.042

DO - 10.1016/j.ejor.2021.05.042

M3 - Journal article

VL - 297

SP - 393

EP - 406

JO - European Journal of Operational Research

JF - European Journal of Operational Research

SN - 0377-2217

IS - 2

ER -