SCOPUS 정보 검색 플랫폼

Volumn 39, Issue 1, 1987, Pages 57-78

Stochastic global optimization methods part II: Multi level methods

Author keywords

computational experiments; Global optimisation

Indexed keywords

MATHEMATICAL PROGRAMMING;

LOCAL MINIMA; MULTILEVEL METHODS; STOCHASTIC GLOBAL OPTIMIZATION;

OPTIMIZATION;

EID: 0023419959 PISSN: 00255610 EISSN: 14364646 Source Type: Journal
DOI: 10.1007/BF02592071 Document Type: Article

Times cited : (287)

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- L. De Biase and F. Frontini, “A stochastic method for global optimization: its structure and numerical performance” (1978), in: Dixon and Szegö (1978a) pp. 85–102.

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- Reflections on the global optimization problem
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7
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- (1978) Towards Global Optimization 2
- Dixon, L.C.W.¹ Szeg, G.P.²

8
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- W.L. Price, “A controlled random search procedure for global optimization” (1978), in: Dixon and Szegö (1978a) pp. 71–84.

13
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- Stochastic global optimization methods. Part I: clustering methods
- this issue
- (1987) Mathematical Programming , vol.38 , pp. 27-56
- Rinnooy Kan, A.H.G.¹ Timmer, G.T.²

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- R.E. Tarjan, Data Structures and Network Algorithms, Siam CBNS/NSF Regional Conference Series in Applied Mathematics (1983).

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- A.A. Törn, “Cluster analysis using seed points and density determined hyperspheres with an application to global optimization,” in: Proceeding of the Third International Conference on Pattern Recognition, Coronado, California (1976).

17
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- A.A. Törn, “A search clustering approach to global optimization” (1978), in: Dixon and Szegö (1978a) pp. 49–62.

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