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Multi-Objective Optimization of Mixed-Variable: Stochastic Systems Using Single-Objective Formulations - Softcover
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Two new algorithms are presented for multi-objective optimization of mixed-variable, stochastic systems. Both are based off of prior algorithms, but combine those pre-exsting algorithms with several other methods, to include single-objective formulations, surrogates, n-dimensional visualizations, aspiration an reservation levels, and direct search methods. Results are shown for a test set of 13 problems, ranging from 2 to 8 objectives, and including non-convex, mixed-variable, and discontinuous problems.
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Two new algorithms are presented for multi-objective optimization of mixed-variable, stochastic systems. Both are based off of prior algorithms, but combine those pre-exsting algorithms with several other methods, to include single-objective formulations, surrogates, n-dimensional visualizations, aspiration an reservation levels, and direct search methods. Results are shown for a test set of 13 problems, ranging from 2 to 8 objectives, and including non-convex, mixed-variable, and discontinuous problems.
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- VerlagBiblioScholar
- Erscheinungsdatum2012
- ISBN 10 128829204X
- ISBN 13 9781288292042
- EinbandTapa blanda
- SpracheEnglisch
- Anzahl der Seiten240
- Kontakt zum HerstellerNicht verfügbar
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Multi-Objective Optimization of Mixed-Variable: Stochastic Systems Using Single-Objective Formulations
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Multi-Objective Optimization of Mixed-Variable: Stochastic Systems Using Single-Objective Formulations
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Zustand: New. KlappentextrnrnTwo new algorithms are presented for multi-objective optimization of mixed-variable, stochastic systems. Both are based off of prior algorithms, but combine those pre-exsting algorithms with several other methods, to include singl. Artikel-Nr. 6553569
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Multi-Objective Optimization of Mixed-Variable: Stochastic Systems Using Single-Objective Formulations
Verlag:
Creative Media Partners, LLC Nov 2012, 2012
ISBN 10: 128829204X
ISBN 13: 9781288292042
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Taschenbuch. Zustand: Neu. Neuware - Two new algorithms are presented for multi-objective optimization of mixed-variable, stochastic systems. Both are based off of prior algorithms, but combine those pre-exsting algorithms with several other methods, to include single-objective formulations, surrogates, n-dimensional visualizations, aspiration an reservation levels, and direct search methods. Results are shown for a test set of 13 problems, ranging from 2 to 8 objectives, and including non-convex, mixed-variable, and discontinuous problems. Artikel-Nr. 9781288292042
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