-
1
-
-
4444305178
-
A genetic algorithm for parameters of stochastic ordinary differential equations
-
Alcock, J., Burrage, K.: A genetic algorithm for parameters of stochastic ordinary differential equations. Comput. Stat. Data Anal. 47, 255-275 (2004).
-
(2004)
Comput. Stat. Data Anal
, vol.47
, pp. 255-275
-
-
Alcock, J.1
Burrage, K.2
-
2
-
-
0001075482
-
Modified controlled random search algorithms
-
Ali, M. M., Storey, C.: Modified controlled random search algorithms. Int. J. Comput. Math. 54, 229-235 (1994).
-
(1994)
Int. J. Comput. Math
, vol.54
, pp. 229-235
-
-
Ali, M.M.1
Storey, C.2
-
3
-
-
22044435106
-
A numerical evaluation of several stochastic algorithms on selected continuous global optimization test problems
-
Ali, M. M., Khompatraporn, C., Zabinsky, Z. B.: A numerical evaluation of several stochastic algorithms on selected continuous global optimization test problems. J. Glob. Optim. 31, 635-672 (2005).
-
(2005)
J. Glob. Optim
, vol.31
, pp. 635-672
-
-
Ali, M.M.1
Khompatraporn, C.2
Zabinsky, Z.B.3
-
5
-
-
33244461073
-
Stability of stochastic approximation under verifiable conditions
-
Andrieu, C., Moulines, É., Priouret, P.: Stability of stochastic approximation under verifiable conditions. SIAM J. Control Optim. 44, 283-312 (2005).
-
(2005)
SIAM J. Control Optim
, vol.44
, pp. 283-312
-
-
Andrieu, C.1
Moulines, E.2
Priouret, P.3
-
6
-
-
0035964961
-
Optimal exact experimental designs with correlated errors through a simulated annealing
-
Angelis, L., Bora-Senta, E., Moyssiadis, C.: Optimal exact experimental designs with correlated errors through a simulated annealing. Comput. Stat. Data Anal. 37, 275-296 (2001).
-
(2001)
Comput. Stat. Data Anal
, vol.37
, pp. 275-296
-
-
Angelis, L.1
Bora-Senta, E.2
Moyssiadis, C.3
-
8
-
-
0035963957
-
Genetic algorithms for the identification of additive and innovation outliers in time series
-
Baragona, R., Battaglia, F., Calzini, C.: Genetic algorithms for the identification of additive and innovation outliers in time series. Comput. Stat. Data Anal. 37, 1-12 (2001).
-
(2001)
Comput. Stat. Data Anal
, vol.37
, pp. 1-12
-
-
Baragona, R.1
Battaglia, F.2
Calzini, C.3
-
10
-
-
4043138379
-
Population Monte Carlo
-
Cappé, O., Guillin, A., Marin, J. M., Robert, C. P.: Population Monte Carlo. J. Comput. Graph. Stat. 13, 907-929 (2004).
-
(2004)
J. Comput. Graph. Stat
, vol.13
, pp. 907-929
-
-
Cappé, O.1
Guillin, A.2
Marin, J.M.3
Robert, C.P.4
-
11
-
-
0025460459
-
Stopping rules for a random optimization method
-
Dorea, C. C. Y.: Stopping rules for a random optimization method. SIAM J. Control Optim. 28, 841-850 (1990).
-
(1990)
SIAM J. Control Optim
, vol.28
, pp. 841-850
-
-
Dorea, C.C.Y.1
-
12
-
-
84952507313
-
Genetic algorithms for estimation problems with multiple optima, non-differentiability, and other irregular features
-
Dorsey, R. E., Mayer, W. J.: Genetic algorithms for estimation problems with multiple optima, non-differentiability, and other irregular features. J. Bus. Econ. Stat. 13, 53-66 (1995).
-
(1995)
J. Bus. Econ. Stat
, vol.13
, pp. 53-66
-
-
Dorsey, R.E.1
Mayer, W.J.2
-
13
-
-
1142280371
-
A simulated annealing strategy for the detection of arbitrarily shaped spatial clusters
-
Duczmal, L., Assuncão, R.: A simulated annealing strategy for the detection of arbitrarily shaped spatial clusters. Comput. Stat. Data Anal. 45, 269-286 (2004).
-
(2004)
Comput. Stat. Data Anal
, vol.45
, pp. 269-286
-
-
Duczmal, L.1
Assuncão, R.2
-
14
-
-
34548266813
-
A genetic algorithm for irregularly shaped spatial scan statistics
-
Duczmal, L., Cancado, A. L. F., Takahashi, R. H. C., Bessegato, L. F.: A genetic algorithm for irregularly shaped spatial scan statistics. Comput. Stat. Data Anal. 52, 43-52 (2007).
-
(2007)
Comput. Stat. Data Anal
, vol.52
, pp. 43-52
-
-
Duczmal, L.1
Cancado, A.L.F.2
Takahashi, R.H.C.3
Bessegato, L.F.4
-
15
-
-
0029517385
-
A new optimizer using particle swarm theory
-
Nagoya, Japan
-
Eberhart, R. C., Kennedy, J.: A new optimizer using particle swarm theory. In: Proc. 6th Int. Symp. Micromachine Human Sci., Nagoya, Japan, pp. 39-43 (1995).
-
(1995)
Proc. 6th Int. Symp. Micromachine Human Sci
, pp. 39-43
-
-
Eberhart, R.C.1
Kennedy, J.2
-
16
-
-
38249014983
-
Optimal selection of statistical units: an approach via simulated annealing
-
Ferri, M., Piccioni, M.: Optimal selection of statistical units: an approach via simulated annealing. Comput. Stat. Data Anal. 13, 47-61 (1992).
-
(1992)
Comput. Stat. Data Anal
, vol.13
, pp. 47-61
-
-
Ferri, M.1
Piccioni, M.2
-
17
-
-
0021518209
-
Stochastic relaxation, Gibbs distribution and the Bayesian restoration of images
-
Geman, S., Geman, D.: Stochastic relaxation, Gibbs distribution and the Bayesian restoration of images. IEEE Trans. Pattern Anal. Mach. Intell. 6, 721-741 (1984).
-
(1984)
IEEE Trans. Pattern Anal. Mach. Intell
, vol.6
, pp. 721-741
-
-
Geman, S.1
Geman, D.2
-
18
-
-
0001119068
-
Adaptive direction sampling
-
Gilks, W. R., Roberts, G. O., George, E. I.: Adaptive direction sampling. Statistician 43, 179-189 (1994).
-
(1994)
Statistician
, vol.43
, pp. 179-189
-
-
Gilks, W.R.1
Roberts, G.O.2
George, E.I.3
-
19
-
-
0032333313
-
Adaptive Markov chain Monte Carlo through regeneration
-
Gilks, W. R., Roberts, G. O., Sahu, S. K.: Adaptive Markov chain Monte Carlo through regeneration. J. Am. Stat. Assoc. 93, 1045-1054 (1998).
-
(1998)
J. Am. Stat. Assoc
, vol.93
, pp. 1045-1054
-
-
Gilks, W.R.1
Roberts, G.O.2
Sahu, S.K.3
-
22
-
-
34247273147
-
On learning strategies for evolutionary Monte Carlo
-
Goswami, G. R., Liu, J. S.: On learning strategies for evolutionary Monte Carlo. Stat. Comput. 17, 23-38 (2007).
-
(2007)
Stat. Comput
, vol.17
, pp. 23-38
-
-
Goswami, G.R.1
Liu, J.S.2
-
23
-
-
0038563932
-
An adaptive Metropolis algorithm
-
Harrio, H., Saksman, E., Tamminen, J.: An adaptive Metropolis algorithm. Bernoulli 7, 223-242 (2001).
-
(2001)
Bernoulli
, vol.7
, pp. 223-242
-
-
Harrio, H.1
Saksman, E.2
Tamminen, J.3
-
24
-
-
0032237525
-
Sequential stopping rules for random optimization methods with application to multistart local search
-
Hart, W. E.: Sequential stopping rules for random optimization methods with application to multistart local search. SIAM J. Optim. 9, 270-290 (1998).
-
(1998)
SIAM J. Optim
, vol.9
, pp. 270-290
-
-
Hart, W.E.1
-
25
-
-
77956890234
-
Monte Carlo sampling methods using Markov chains and their applications
-
Hastings, W. K.: Monte Carlo sampling methods using Markov chains and their applications. Biometrika 57, 97-109 (1970).
-
(1970)
Biometrika
, vol.57
, pp. 97-109
-
-
Hastings, W.K.1
-
26
-
-
26844575560
-
Tabu search directed by direct search methods for nonlinear global optimization
-
Hedar, A. R., Fukushima, M.: Tabu search directed by direct search methods for nonlinear global optimization. Eur. J. Oper. Res. 170, 329-349 (2006).
-
(2006)
Eur. J. Oper. Res
, vol.170
, pp. 329-349
-
-
Hedar, A.R.1
Fukushima, M.2
-
27
-
-
11944274075
-
Monte Carlo simulation and global optimization without parameters
-
Hesselbo, B., Stinchcomble, R. B.: Monte Carlo simulation and global optimization without parameters. Phys. Rev. Lett. 74, 2151-2155 (1995).
-
(1995)
Phys. Rev. Lett
, vol.74
, pp. 2151-2155
-
-
Hesselbo, B.1
Stinchcomble, R.B.2
-
29
-
-
35148898088
-
Global optimization by continuous GRASP
-
Hirsch, M. J., Meneses, C. N., Pardalos, P. M., Resende, M. G. C.: Global optimization by continuous GRASP. Optim. Lett. 1, 201-212 (2007).
-
(2007)
Optim. Lett
, vol.1
, pp. 201-212
-
-
Hirsch, M.J.1
Meneses, C.N.2
Pardalos, P.M.3
Resende, M.G.C.4
-
30
-
-
0011908609
-
Testing the restrictions implied by the rational expectations hypothesis
-
Hoffman, D. L., Schmidt, P.: Testing the restrictions implied by the rational expectations hypothesis. J. Econom. 15, 265-287 (1981).
-
(1981)
J. Econom
, vol.15
, pp. 265-287
-
-
Hoffman, D.L.1
Schmidt, P.2
-
32
-
-
34547863202
-
On population-based simulation for static inference
-
Jasra, A., Stephens, D. A., Holmes, C. C.: On population-based simulation for static inference. Stat. Comput. 17, 263-279 (2007).
-
(2007)
Stat. Comput
, vol.17
, pp. 263-279
-
-
Jasra, A.1
Stephens, D.A.2
Holmes, C.C.3
-
33
-
-
26444479778
-
Optimization by simulated annealing
-
Kirkpatrick, S., Gelatt, C. D., Vecchi, M. P.: Optimization by simulated annealing. Science 220, 671-680 (1983).
-
(1983)
Science
, vol.220
, pp. 671-680
-
-
Kirkpatrick, S.1
Gelatt, C.D.2
Vecchi, M.P.3
-
34
-
-
27744448918
-
Experimental testing of advanced scatter search designs for global optimization of multimodal functions
-
Laguna, M., Martí, R.: Experimental testing of advanced scatter search designs for global optimization of multimodal functions. J. Glob. Optim. 33, 235-255 (2005).
-
(2005)
J. Glob. Optim
, vol.33
, pp. 235-255
-
-
Laguna, M.1
Martí, R.2
-
35
-
-
0036744537
-
Dynamically weighted importance sampling in Monte Carlo computation
-
Liang, F.: Dynamically weighted importance sampling in Monte Carlo computation. J. Am. Stat. Assoc. 97, 807-821 (2002).
-
(2002)
J. Am. Stat. Assoc
, vol.97
, pp. 807-821
-
-
Liang, F.1
-
36
-
-
34548179892
-
Annealing stochastic approximation Monte Carlo for neural network training
-
Liang, F.: Annealing stochastic approximation Monte Carlo for neural network training. Mach. Learn. 68, 201-233 (2007).
-
(2007)
Mach. Learn
, vol.68
, pp. 201-233
-
-
Liang, F.1
-
37
-
-
0034403006
-
p model sampling and change-point problem
-
p model sampling and change-point problem. Stat. Sin. 10, 317-342 (2000).
-
(2000)
Stat. Sin
, vol.10
, pp. 317-342
-
-
Liang, F.1
Wong, W.H.2
-
38
-
-
1542573405
-
Real parameter evolutionary sampling with applications in Bayesian mixture models
-
Liang, F., Wong, W. H.: Real parameter evolutionary sampling with applications in Bayesian mixture models. J. Am. Stat. Assoc. 96, 653-666 (2001).
-
(2001)
J. Am. Stat. Assoc
, vol.96
, pp. 653-666
-
-
Liang, F.1
Wong, W.H.2
-
39
-
-
33947215681
-
Stochastic approximation in Monte Carlo computation
-
Liang, F., Liu, C., Carroll, R. J.: Stochastic approximation in Monte Carlo computation. J. Am. Stat. Assoc. 102, 305-320 (2007).
-
(2007)
J. Am. Stat. Assoc
, vol.102
, pp. 305-320
-
-
Liang, F.1
Liu, C.2
Carroll, R.J.3
-
40
-
-
33744730797
-
Comprehensive learning particle swarm optimizer for global optimization of multimodal functions
-
Liang, J. J., Qing, A. K., Suganthan, P. N., Baskar, S.: Comprehensive learning particle swarm optimizer for global optimization of multimodal functions. IEEE Trans. Evol. Comput. 10, 281-295 (2006).
-
(2006)
IEEE Trans. Evol. Comput
, vol.10
, pp. 281-295
-
-
Liang, J.J.1
Qing, A.K.2
Suganthan, P.N.3
Baskar, S.4
-
42
-
-
0030551974
-
Rates of convergence of the Hastings and Metropolis algorithms
-
Mengersen, K. L., Tweedie, R. L.: Rates of convergence of the Hastings and Metropolis algorithms. Ann. Stat. 24, 101-121 (1996).
-
(1996)
Ann. Stat
, vol.24
, pp. 101-121
-
-
Mengersen, K.L.1
Tweedie, R.L.2
-
43
-
-
5744249209
-
Equation of state calculations by fast computing machines
-
Metropolis, N., Rosenbluth, A. W., Rosenbluth, M. N., Teller, A. H., Teller, E.: Equation of state calculations by fast computing machines. J. Chem. Phys. 21, 1087-1091 (1953).
-
(1953)
J. Chem. Phys
, vol.21
, pp. 1087-1091
-
-
Metropolis, N.1
Rosenbluth, A.W.2
Rosenbluth, M.N.3
Teller, A.H.4
Teller, E.5
-
47
-
-
0020792913
-
Global optimization by controlled random search
-
Price, W. L.: Global optimization by controlled random search. J. Optim. Theory Appl. 40, 333-348 (1983).
-
(1983)
J. Optim. Theory Appl
, vol.40
, pp. 333-348
-
-
Price, W.L.1
-
49
-
-
0029768771
-
Reevaluating genetic algorithm performance under coordinate rotation of benchmark functions
-
Salomon, R.: Reevaluating genetic algorithm performance under coordinate rotation of benchmark functions. BioSystems 39, 263-278 (1996).
-
(1996)
BioSystems
, vol.39
, pp. 263-278
-
-
Salomon, R.1
-
50
-
-
0034914489
-
Theory of genetic algorithms
-
Schmitt, L. M.: Theory of genetic algorithms. Theor. Comput. Sci. 259, 1-61 (2001).
-
(2001)
Theor. Comput. Sci
, vol.259
, pp. 1-61
-
-
Schmitt, L.M.1
-
51
-
-
33750250686
-
Asymptotic convergence of scaled genetic algorithms to global optima
-
A. Menon (Ed.), Dordrecht: Kluwer Academic
-
Schmitt, L. M.: Asymptotic convergence of scaled genetic algorithms to global optima. In: Menon, A. (ed.) Frontiers of Evolutionary Computation, pp. 157-200. Kluwer Academic, Dordrecht (2004).
-
(2004)
Frontiers of Evolutionary Computation
, pp. 157-200
-
-
Schmitt, L.M.1
-
52
-
-
0142000477
-
Differential evolution: A simple and efficient heuristic for global optimization over continuous spaces
-
Storn, R., Price, K.: Differential evolution: A simple and efficient heuristic for global optimization over continuous spaces. J. Glob. Optim 11, 341-359 (1997).
-
(1997)
J. Glob. Optim
, vol.11
, pp. 341-359
-
-
Storn, R.1
Price, K.2
-
53
-
-
0001789959
-
Introduction to general state-space Markov chain theory
-
W. R. Gilks, S. Richardson, and D. J. Spiegelhalter (Eds.), London: Chapman & Hall
-
Tierney, L.: Introduction to general state-space Markov chain theory. In: Gilks, W. R., Richardson, S., Spiegelhalter, D. J. (eds.) Markov Chain Monte Carlo in Practice, pp. 59-88. Chapman & Hall, London (1996).
-
(1996)
Markov Chain Monte Carlo in Practice
, pp. 59-88
-
-
Tierney, L.1
-
54
-
-
0003582694
-
-
Lecture Notes in Computer Science, Berlin: Springer
-
Törn, A., Žilinskas, A.: Global Optimization. Lecture Notes in Computer Science, vol. 350. Springer, Berlin (1989).
-
(1989)
Global Optimization
, vol.350
-
-
Törn, A.1
Žilinskas, A.2
-
55
-
-
0001567344
-
Identification of multivariate AR-models by threshold accepting
-
Winker, P.: Identification of multivariate AR-models by threshold accepting. Comput. Stat. Data Anal. 20, 295-307 (1995).
-
(1995)
Comput. Stat. Data Anal
, vol.20
, pp. 295-307
-
-
Winker, P.1
-
56
-
-
0031447220
-
Dynamic weighting in Monte Carlo and optimization
-
USA
-
Wong, W. H., Liang, F.: Dynamic weighting in Monte Carlo and optimization. Proc. Natl. Acad. Sci. USA 94, 14220-14224 (1997).
-
(1997)
Proc. Natl. Acad. Sci
, vol.94
, pp. 14220-14224
-
-
Wong, W.H.1
Liang, F.2
-
57
-
-
0037185691
-
Using genetic algorithms to parameters (d,r) estimation for threshold autoregressive models
-
Wu, B., Chang, C.-L.: Using genetic algorithms to parameters (d, r) estimation for threshold autoregressive models. Comput. Stat. Data Anal. 38, 315-330 (2002).
-
(2002)
Comput. Stat. Data Anal
, vol.38
, pp. 315-330
-
-
Wu, B.1
Chang, C.-L.2
-
58
-
-
84882537412
-
Stochastic approximation algorithms for estimation of spatial mixed models
-
S. Y. Lee (Ed.), Amsterdam: Elsevier
-
Zhu, H. T., Liang, F., Gu, M., Peterson, B.: Stochastic approximation algorithms for estimation of spatial mixed models. In: Lee, S. Y. (ed.) Handbook of Computing and Statistics with Applications, vol. 1, pp. 399-421. Elsevier, Amsterdam (2007).
-
(2007)
Handbook of Computing and Statistics with Applications
, vol.1
, pp. 399-421
-
-
Zhu, H.T.1
Liang, F.2
Gu, M.3
Peterson, B.4
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