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Random optimization
Known as:
Random optimisation
, Randomized optimization
Random optimization (RO) is a family of numerical optimization methods that do not require the gradient of the problem to be optimized and RO can…
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Related topics
Related topics
12 relations
Artificial intelligence
Evolution strategy
Gradient
Hill climbing
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Broader (1)
Mathematical optimization
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2010
2010
Reservoir optimization in recurrent neural networks using properties of Kronecker product
A. A. Rad
,
M. Hasler
,
M. Jalili
Logic Journal of the IGPL
2010
Corpus ID: 39885803
Recurrent neural networks based on reservoir computing are increasingly being used in many applications. Optimization of the…
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2009
2009
An Improved Hybrid Genetic Algorithms Using Simulated Annealing
Huawang Shi
Second International Symposium on Electronic…
2009
Corpus ID: 17835306
It is well known that simulated annealing (SA) and genetic algorithm (GA) are two global methods and can then be used to…
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2005
2005
Analysis of multiplier with a novel symmetric ferroelectric varactor
P. Rundqvist
,
A. Vorobiev
,
E. Kollberg
,
S. Gevorgian
2005
Corpus ID: 73707764
This work is aimed at investigating the potential of (Ba,Sr)TiO3 ferroelectric varactors in frequency multipliers in the 100 GHz…
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2001
2001
Low-power CMOS with subvolt supply voltages
Mircea R. Stan
IEEE Transactions on Very Large Scale Integration…
2001
Corpus ID: 16560032
We first present a circuit taxonomy along the space and time dimensions, which is useful for classifying generic low-power…
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2001
2001
Global random optimization by simultaneous perturbation stochastic approximation
J. L. Maryak
,
D. C. Chin
Proceedings of the American Control Conference…
2001
Corpus ID: 122884460
A desire with iterative optimization techniques is that the algorithm reach the global optimum rather than get stranded at a…
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1999
1999
Fuzzy control of unknown multiple-input-multiple-output plants
Chunshien Li
,
R. Priemer
Fuzzy Sets Syst.
1999
Corpus ID: 21817125
1997
1997
Neural clustering networks based on global optimisation of prototypes in metric spaces
M. Galicki
,
U. Möller
,
H. Witte
Neural computing & applications (Print)
1997
Corpus ID: 11499279
The utilisation of clustering algorithms based on the optimisation of prototypes in neural networks is demonstrated for…
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1996
1996
On the Glivenko-Cantelli Problem in Stochastic Programming: Linear Recourse and Extensions
G. Pflug
,
A. Ruszczynski
,
R. Schultz
Mathematics of Operations Research
1996
Corpus ID: 13124341
Integrals of optimal values of random linear programming problems depending on a finite dimensional parameter are approximated by…
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1996
1996
Investigating a Parallel Breeder Genetic Algorithm on the Inverse Aerodynamic Design
I. D. Falco
,
A. D. Cioppa
,
R. D. Balio
,
E. Tarantino
Parallel Problem Solving from Nature
1996
Corpus ID: 2255123
Breeder Genetic Algorithms represent a class of random optimisation techniques gleaned from the science of population genetics…
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Highly Cited
1994
Highly Cited
1994
A hybrid algorithm for finding the global minimum of error function of neural networks and its applications
N. Baba
,
Y. Mogami
,
Motokazu Kohzaki
,
Y. Shiraishi
,
Yutaka Yoshida
Neural Networks
1994
Corpus ID: 37941990
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