The surprising little effectiveness of cooperative algorithms in parallel problem solving

Biological and cultural inspired optimization algorithms are nowadays part of the basic toolkit of a great many research domains. By mimicking processes in nature and animal societies, these general-purpose search algorithms promise to deliver optimal or near-optimal solutions using hardly any infor...

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Veröffentlicht in:	The European physical journal. B, Condensed matter physics Jg. 93; H. 7
Hauptverfasser:	Reia, Sandro M., Aquino, Larissa F., Fontanari, José F.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer Berlin Heidelberg 01.07.2020 Springer Springer Nature B.V
Schlagworte:	Algorithms Complex Systems Condensed Matter Physics Evolutionary algorithms Fluid- and Aerodynamics Genetic algorithms Machine learning Mathematical optimization Maxima Optimization Physics Physics and Astronomy Problem solving Regular Article Search algorithms Solid State Physics Strings Toolkits Statistical and Nonlinear Physics
ISSN:	1434-6028, 1434-6036
Online-Zugang:	Volltext
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