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1 Ergebnisse
1
Examining algorithm behavior using recurrence quantificatio..:
, In:
Proceedings of the Genetic and Evolutionary Computation Conference Companion
,
Muñoz, Mario Andrés
- p. 1658-1665 , 2022
Link:
https://dl.acm.org/doi/10.1145/3520304.3534029
RT T1 <cTitle>Proceedings of the Genetic and Evolutionary Computation Conference Companion</cTitle>: T1 <Title>Examining algorithm behavior using recurrence quantification and landscape analyses</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3534029&Exemplar=1&LAN=DE A1 Muñoz, Mario Andrés PB ACM YR 2022 K1 black-box optimization K1 dynamical systems K1 instance spaces K1 landscape analysis K1 recurrence quantification analysis K1 General and reference K1 Cross-computing tools and techniques K1 Empirical studies K1 Computing methodologies K1 Artificial intelligence K1 Search methodologies K1 Randomized search K1 Theory of computation K1 Design and analysis of algorithms K1 Mathematical optimization K1 Mixed discrete-continuous optimization K1 Bio-inspired optimization K1 Experimentation SP 1658 OP 1665 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3520304.3534029 DO https://dl.acm.org/doi/10.1145/3520304.3534029 SF ELIB - SuUB Bremen
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