000996241 001__ 996241 000996241 005__ 20251008150830.0 000996241 0247_ $$2DOI$$a10.48550/arXiv.2410.10369 000996241 0247_ $$2arXiv$$aarXiv:2410.10369 000996241 037__ $$aRWTH-2024-10459 000996241 041__ $$aEnglish 000996241 1001_ $$aBorghi, Giacomo$$b0$$eCorresponding author 000996241 245__ $$aKinetic models for optimization: a unified mathematical framework for metaheuristics$$honline 000996241 260__ $$c2024 000996241 300__ $$a34 Seiten 000996241 3367_ $$028$$2EndNote$$aElectronic Article 000996241 3367_ $$0PUB:(DE-HGF)25$$2PUB:(DE-HGF)$$aPreprint$$bpreprint$$mpreprint 000996241 3367_ $$2BibTeX$$aARTICLE 000996241 3367_ $$2DRIVER$$apreprint 000996241 3367_ $$2DataCite$$aOutput Types/Working Paper 000996241 3367_ $$2ORCID$$aWORKING_PAPER 000996241 588__ $$aDataset connected to arXivarXiv 000996241 591__ $$aGermany 000996241 591__ $$aUK 000996241 653_7 $$aMonte Carlo methods 000996241 653_7 $$aOptimization 000996241 653_7 $$akinetic models 000996241 653_7 $$amean-field limit 000996241 653_7 $$ametaheuristics 000996241 653_7 $$astochastic particle systems 000996241 7001_ $$0P:(DE-82)IDM00024$$aHerty, Michael$$b1$$eCorresponding author$$urwth 000996241 7001_ $$aPareschi, Lorenzo$$b2$$eCorresponding author 000996241 909CO $$ooai:publications.rwth-aachen.de:996241$$pVDB 000996241 9101_ $$0I:(DE-588b)36225-6$$6P:(DE-82)IDM00024$$aRWTH Aachen$$b1$$kRWTH 000996241 9141_ $$y2024 000996241 915__ $$0StatID:(DE-HGF)0510$$2StatID$$aOpenAccess 000996241 915__ $$0LIC:(DE-HGF)PublisherOA$$2HGFVOC$$aFree to read 000996241 9201_ $$0I:(DE-82)114620_20140620$$k114610$$lLehrstuhl für Numerische Mathematik$$x0 000996241 9201_ $$0I:(DE-82)110000_20140620$$k110000$$lFachgruppe Mathematik$$x1 000996241 961__ $$c2024-11-07T16:02:42.250485$$x2024-11-07T16:02:42.250485$$z2024-11-07 000996241 980__ $$aI:(DE-82)110000_20140620 000996241 980__ $$aI:(DE-82)114620_20140620 000996241 980__ $$aUNRESTRICTED 000996241 980__ $$aVDB 000996241 980__ $$apreprint