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51
Simulated annealing: Practice versus theory
 Mathl. Comput. Modelling
, 1993
"... this paper "ergodic" is used in a very weak sense, as it is not proposed, theoretically or practically, that all states of the system are actually to be visited ..."
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Cited by 218 (18 self)
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this paper "ergodic" is used in a very weak sense, as it is not proposed, theoretically or practically, that all states of the system are actually to be visited
Genetic Algorithms And Very Fast Simulated Reannealing: A Comparison
, 1992
"... We compare Genetic Algorithms (GA) with a functional search method, Very Fast Simulated Reannealing (VFSR), that not only is efficient in its search strategy, but also is statistically guaranteed to find the function optima. GA previously has been demonstrated to be competitive with other standard B ..."
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Cited by 120 (16 self)
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We compare Genetic Algorithms (GA) with a functional search method, Very Fast Simulated Reannealing (VFSR), that not only is efficient in its search strategy, but also is statistically guaranteed to find the function optima. GA previously has been demonstrated to be competitive with other standard Boltzmanntype simulated annealing techniques. Presenting a suite of six standard test functions to GA and VFSR codes from previous studies, without any additional fine tuning, strongly suggests that VFSR can be expected to be orders of magnitude more efficient than GA.
Adaptive simulated annealing (ASA): Lessons learned
 Control and Cybernetics
, 1996
"... Adaptive simulated annealing (ASA) is a global optimization algorithm based on an associated proof that the parameter space can be sampled much more efficiently than by using other previous simulated annealing algorithms. The author's ASA code has been publicly available for over two years. ..."
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Cited by 93 (13 self)
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Adaptive simulated annealing (ASA) is a global optimization algorithm based on an associated proof that the parameter space can be sampled much more efficiently than by using other previous simulated annealing algorithms. The author's ASA code has been publicly available for over two years. During this time the author has volunteered to help people via email, and the feedback obtained has been used to further develop the code.
Statistical Mechanics of Nonlinear Nonequilibrium Financial Markets: Applications to Optimized Trading
 MATH. MODELLING
, 1996
"... A paradigm of statistical mechanics of financial markets (SMFM) using nonlinear nonequilibrium algorithms, first published in L. Ingber, Mathematical Modelling, 5, 343361 (1984), is fit to multivariate financial markets using Adaptive Simulated Annealing (ASA), a global optimization algorithm, to p ..."
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Cited by 46 (34 self)
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A paradigm of statistical mechanics of financial markets (SMFM) using nonlinear nonequilibrium algorithms, first published in L. Ingber, Mathematical Modelling, 5, 343361 (1984), is fit to multivariate financial markets using Adaptive Simulated Annealing (ASA), a global optimization algorithm, to perform maximum likelihood fits of Lagrangians defined by path integrals of multivariate conditional probabilities. Canonical momenta are thereby derived and used as technical indicators in a recursive ASA optimization process to tune trading rules. These trading rules are then used on outofsample data, to demonstrate that they can profit from the SMFM model, to illustrate that these markets are likely not efficient.
Statistical mechanics of multiple scales of neocortical interactions
 in Neocortical Dynamics and Human EEG Rhythms, (Edited by P.L. Nunez
, 1995
"... 14. Statistical mechanics of multiple scales of neocortical interactions ..."
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Cited by 39 (20 self)
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14. Statistical mechanics of multiple scales of neocortical interactions
Automatic Retinal Image Registration Scheme Using Global Optimization Techniques
 IEEE Transactions on Information Technology in Biomedicine
, 1999
"... Abstract—Retinal image registration is commonly required in order to combine the complementary information in different retinal modalities. In this paper, a new automatic scheme to register retinal images is presented and is currently tested in a clinical environment. The scheme considers the suitab ..."
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Cited by 35 (0 self)
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Abstract—Retinal image registration is commonly required in order to combine the complementary information in different retinal modalities. In this paper, a new automatic scheme to register retinal images is presented and is currently tested in a clinical environment. The scheme considers the suitability and efficiency of different image transformation models and function optimization techniques, following an initial preprocessing stage. Three different transformation models—affine, bilinear and projective—as well as three optimization techniques—downhill simplex method, simulated annealing and genetic algorithms—are investigated and compared in terms of accuracy and efficiency. The registration of 26 pairs of Fluoroscein Angiography and Indocyanine Green Chorioangiography images with the corresponding RedFree retinal images, showed the superiority of combining genetic algorithms with the affine and bilinear transformation models. A comparative study of the proposed automatic registration scheme against the manual method, commonly used in the clinical practice, is finally presented showing the advantage of the proposed automatic scheme in terms of accuracy and consistency. Index Terms—Genetic algorithms, image registration, retinal images, simulated annealing, transformation models. I.
Statistical mechanics of neocortical interactions. EEG dispersion relations
 IEEE Trans. Biomed. Eng
, 1985
"... Abstract—An approach is explicitly formulated to blend a local with a global theory to investigate oscillatory neocortical firings, to determine the source and the informationprocessing nature of the alpha rhythm. The basis of this optimism is founded on a statistical mechanical theory of neocortica ..."
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Cited by 31 (29 self)
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Abstract—An approach is explicitly formulated to blend a local with a global theory to investigate oscillatory neocortical firings, to determine the source and the informationprocessing nature of the alpha rhythm. The basis of this optimism is founded on a statistical mechanical theory of neocortical interactions which has had success in numerically detailing properties of shorttermmemory (STM) capacity at the mesoscopic scales of columnar interactions, and which is consistent with other theory deriving similar dispersion relations at the macroscopic scales of electroencephalographic (EEG) and magnetoencephalographic (MEG) activity.
Adaptive Simulated Annealing (ASA)
"... Adaptive Simulated Annealing (ASA) is a Clanguage code developed to statistically find the best global fit of a nonlinear constrained nonconvex costfunction over aDdimensional space. This algorithm permits an annealing schedule for “temperature ” T decreasing exponentially in annealingtime k, T ..."
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Cited by 30 (2 self)
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Adaptive Simulated Annealing (ASA) is a Clanguage code developed to statistically find the best global fit of a nonlinear constrained nonconvex costfunction over aDdimensional space. This algorithm permits an annealing schedule for “temperature ” T decreasing exponentially in annealingtime k, T = T 0 exp(−ck 1/D). The introduction of reannealing also permits adaptation to changing sensitivities in the multidimensional parameterspace. This annealing schedule is faster than fast Cauchy annealing, where T = T 0/k, and much faster than Boltzmann annealing, where T = T 0/lnk. ASA has over 100 OPTIONS to provide robust tuning over many classes of nonlinear stochastic systems.
Highresolution pathintegral development of financial options
 PHYSICA A
, 2000
"... The BlackScholes theory of option pricing has been considered for many years as an important but very approximate zerothorder description of actual market behavior. We generalize the functional form of the diffusion of these systems and also consider multifactor models including stochastic volati ..."
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Cited by 21 (15 self)
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The BlackScholes theory of option pricing has been considered for many years as an important but very approximate zerothorder description of actual market behavior. We generalize the functional form of the diffusion of these systems and also consider multifactor models including stochastic volatility. Daily Eurodollar futures prices and implied volatilities are fit to determine exponents of functional behavior of diffusions using methods of global optimization, Adaptive Simulated Annealing (ASA), to generate tight fits across moving time windows of Eurodollar contracts. These shorttime fitted distributions are then developed into longtime distributions using a robust nonMonte Carlo pathintegral algorithm, PATHINT, to generate prices and derivatives commonly used by option traders.