Equivalence between Some Dynamical Systems for Optimization

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概要

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• 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.

• 社団法人電子情報通信学会の論文
• 1995-02-25

著者

• URAHAMA Kiichi

  Department of Computer Science and Communication Engineering, Kyushu University

• Urahama Kiichi

  Department Of Computer Science And Electronics Kyushu Institute Of Technology

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