IEICE TRANSACTIONS on Fundamentals
Equivalence between Some Dynamical Systems for Optimization
Summary :
It is shown by the derivation of solution methods for an elementary optimization problem that the stochastic relaxation in image analysis, the Potts neural networks for combinatorial optimization and interior point methods for nonlinear programming have common formulation of their dynamics. This unification of these algorithms leads us to possibility for real time solution of these problems with common analog electronic circuits.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E78-A No.2 pp.268-271
- Publication Date
- 1995/02/25
- Publicized
- Online ISSN
- DOI
- Type of Manuscript
- LETTER
- Category
- Optimization Techniques
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Keyword
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Kiichi URAHAMA, "Equivalence between Some Dynamical Systems for Optimization" in IEICE TRANSACTIONS on Fundamentals,
vol. E78-A, no. 2, pp. 268-271, February 1995, doi: .
Abstract: It is shown by the derivation of solution methods for an elementary optimization problem that the stochastic relaxation in image analysis, the Potts neural networks for combinatorial optimization and interior point methods for nonlinear programming have common formulation of their dynamics. This unification of these algorithms leads us to possibility for real time solution of these problems with common analog electronic circuits.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e78-a_2_268/_p
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author={Kiichi URAHAMA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Equivalence between Some Dynamical Systems for Optimization},
year={1995},
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pages={268-271},
abstract={It is shown by the derivation of solution methods for an elementary optimization problem that the stochastic relaxation in image analysis, the Potts neural networks for combinatorial optimization and interior point methods for nonlinear programming have common formulation of their dynamics. This unification of these algorithms leads us to possibility for real time solution of these problems with common analog electronic circuits.},
keywords={},
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month={February},}
Copy
TY - JOUR
TI - Equivalence between Some Dynamical Systems for Optimization
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 268
EP - 271
AU - Kiichi URAHAMA
PY - 1995
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E78-A
IS - 2
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - February 1995
AB - It is shown by the derivation of solution methods for an elementary optimization problem that the stochastic relaxation in image analysis, the Potts neural networks for combinatorial optimization and interior point methods for nonlinear programming have common formulation of their dynamics. This unification of these algorithms leads us to possibility for real time solution of these problems with common analog electronic circuits.
ER -
English
