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2017 | OriginalPaper | Buchkapitel

Consensus-Based Global Optimization

verfasst von : Claudia Totzeck

Erschienen in: Progress in Industrial Mathematics at ECMI 2016

Verlag: Springer International Publishing

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Abstract

We discuss some algorithms for global optimization and opinion formation and their relation to consensus-based optimization (CBO). The proposed CBO algorithm allows to pass to the mean-field limit, resulting in a Fokker-Plank type equation with non-linear, non-local and degenerate drift and diffusion term. We shed some light on the prospects of justifying the efficacy of the CBO algorithm on the PDE level.

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Literatur
1.
Zurück zum Zitat Ajmone Marsan, G., Bellomo, N., Gibelli, L.: Stochastic evolutionary differential games toward a systems theory of behavioral social dynamics. Math. Models Methods Appl. Sci. 26, 1051–1093 (2016) Ajmone Marsan, G., Bellomo, N., Gibelli, L.: Stochastic evolutionary differential games toward a systems theory of behavioral social dynamics. Math. Models Methods Appl. Sci. 26, 1051–1093 (2016)
2.
Zurück zum Zitat Bolley, F., Cañizo, J.A., Carrillo, J.A.: Stochastic mean-field limit: non-lipschitz forces and swarming. Math. Models Methods Appl. Sci. 21, 2179–2210 (2011) Bolley, F., Cañizo, J.A., Carrillo, J.A.: Stochastic mean-field limit: non-lipschitz forces and swarming. Math. Models Methods Appl. Sci. 21, 2179–2210 (2011)
3.
Zurück zum Zitat Boudin, L., Salvarani, F.: A kinetic approach to the study of opinion formation. ESAIM: Math. Modelling Numer. Anal. 43, 507–522 (2009) Boudin, L., Salvarani, F.: A kinetic approach to the study of opinion formation. ESAIM: Math. Modelling Numer. Anal. 43, 507–522 (2009)
5.
Zurück zum Zitat Chatterjee, S., Seneta, E.: Towards consensus: some convergence theorems on repeated averaging. J. Appl. Probab. 14, 89–97 (1977) Chatterjee, S., Seneta, E.: Towards consensus: some convergence theorems on repeated averaging. J. Appl. Probab. 14, 89–97 (1977)
6.
Zurück zum Zitat Emara, H.M., Fattah, H.A.: Continuous swarm optimization technique with stability analysis. In: Proceedings of the American Control Conference, vol. 3, pp. 2811–2817 (2004) Emara, H.M., Fattah, H.A.: Continuous swarm optimization technique with stability analysis. In: Proceedings of the American Control Conference, vol. 3, pp. 2811–2817 (2004)
7.
Zurück zum Zitat French, P. Jr.: A formal theory of social power. Psychol. Rev. 63, 181–194 (1956) French, P. Jr.: A formal theory of social power. Psychol. Rev. 63, 181–194 (1956)
8.
Zurück zum Zitat Geman, S., Geman, D.: Stochastic relaxation, gibbs distributions, and the bayesian restoration of images. IEEE Trans. Pattern Anal. Mach. Intell. 6, 721–741 (1984) Geman, S., Geman, D.: Stochastic relaxation, gibbs distributions, and the bayesian restoration of images. IEEE Trans. Pattern Anal. Mach. Intell. 6, 721–741 (1984)
9.
Zurück zum Zitat Ha, S.Y., Tadmor, E.: From particle to kinetic and hydrodynamic descriptions of flocking. Kinet. Relat. Models 1, 415–435 (2008) Ha, S.Y., Tadmor, E.: From particle to kinetic and hydrodynamic descriptions of flocking. Kinet. Relat. Models 1, 415–435 (2008)
10.
Zurück zum Zitat Hegselmann, R., Krause, U.: Opinion dynamics and bounded confidence models, analysis, and simulation. J. Artif. Soc. Soc. Simul. 5(3), 1–33 (2002) Hegselmann, R., Krause, U.: Opinion dynamics and bounded confidence models, analysis, and simulation. J. Artif. Soc. Soc. Simul. 5(3), 1–33 (2002)
11.
Zurück zum Zitat Karaboga, D., Gorkemli, B., Ozturk, C., Karaboga, N.: A comprehensive survey: artificial bee colony (ABC) algorithm and applications. Artif. Intell. Rev. 41, 21–57 (2014) Karaboga, D., Gorkemli, B., Ozturk, C., Karaboga, N.: A comprehensive survey: artificial bee colony (ABC) algorithm and applications. Artif. Intell. Rev. 41, 21–57 (2014)
12.
Zurück zum Zitat Kennedy, J.: Particle swarm optimization. In: Encyclopedia of Machine Learning, pp. 760–766. Springer, Berlin (2011) Kennedy, J.: Particle swarm optimization. In: Encyclopedia of Machine Learning, pp. 760–766. Springer, Berlin (2011)
13.
Zurück zum Zitat Kirkpatrick, S., Gelatt, C.D., Jr., Vecchi, M.P.: Optimization by simulated annealing, Science 220, pp. 671–680 (1983) Kirkpatrick, S., Gelatt, C.D., Jr., Vecchi, M.P.: Optimization by simulated annealing, Science 220, pp. 671–680 (1983)
14.
Zurück zum Zitat Locatelli, M., Schoen, F.: Global Optimization. Theory, Algorithms, and Applications. SIAM Series on Optimization. SIAM, Philadelphia (2013) Locatelli, M., Schoen, F.: Global Optimization. Theory, Algorithms, and Applications. SIAM Series on Optimization. SIAM, Philadelphia (2013)
15.
Zurück zum Zitat Mohan, B.C., Baskaran, R.: A survey: ant colony optimization based recent research and implementation on several engineering domain. Expert Syst. Appl. 39 4618–4627 (2012) Mohan, B.C., Baskaran, R.: A survey: ant colony optimization based recent research and implementation on several engineering domain. Expert Syst. Appl. 39 4618–4627 (2012)
16.
Zurück zum Zitat Naldi, G., Pareschi, L., Toscani, G.: Mathematical Modeling of Collective Behavior in Socio-Economic and Life Sciences. Springer Science & Businsess Media, New York (2010) Naldi, G., Pareschi, L., Toscani, G.: Mathematical Modeling of Collective Behavior in Socio-Economic and Life Sciences. Springer Science & Businsess Media, New York (2010)
17.
Zurück zum Zitat Pinnau, R., Totzeck, C., Tse, O., Martin, S.: A consensus-based model for global optimization and its mean-field limit. Math. Models Methods Appl. Sci. 27, 183 (2017) Pinnau, R., Totzeck, C., Tse, O., Martin, S.: A consensus-based model for global optimization and its mean-field limit. Math. Models Methods Appl. Sci. 27, 183 (2017)
18.
Zurück zum Zitat Poli, R., Kennedy, J., Blackwell, T.: Particle swarm optimization. In: Swarm Intelligence. Springer, Berlin (2007) Poli, R., Kennedy, J., Blackwell, T.: Particle swarm optimization. In: Swarm Intelligence. Springer, Berlin (2007)
Metadaten
Titel
Consensus-Based Global Optimization
verfasst von
Claudia Totzeck
Copyright-Jahr
2017
DOI
https://doi.org/10.1007/978-3-319-63082-3_64