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Publikační činnost

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Typ záznamu:	prezentace (kongresy, sympózia, konference, workshopy)
Domácí pracoviště:	Ústav pro výzkum a aplikace fuzzy modelování (94410)
Název:	Adaptive Population-Based Algorithm for Global Optimization
Citace	Tvrdík, J., Křivý, I. a Mišík, L. Adaptive Population-Based Algorithm for Global Optimization. In: COMPSTAT 2006. Rome. 2006.

Podnázev
Rok vydání:	2006
Obor:	Aplikovaná statistika, operační výzkum
Místo konání:	Rome
Stát konání akce:	Italská republika
Název akce:	COMPSTAT 2006
Datum od:
Datum do:
Druh prezentace:	Přednáška
Instituce:

Klíčová slova anglicky:	global optimization; stochastic algorithms; nonlinear regression
Popis v původním jazyce:	This paper describes an adaptive stochastic algorithm for the global optimization. The algorithm is based on the competition of heuristics for local search. The experimental results obtained when applying the algorithm to the estimation of nonlinear-regression parameters of NIST tasks are presented and compared with the results of other algorithms. The proposed algorithm proved to be more reliable at an acceptable time consumption.
Popis v anglickém jazyce:	This paper describes an adaptive stochastic algorithm for the global optimization. The algorithm is based on the competition of heuristics for local search. The experimental results obtained when applying the algorithm to the estimation of nonlinear-regression parameters of NIST tasks are presented and compared with the results of other algorithms. The proposed algorithm proved to be more reliable at an acceptable time consumption.

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