Global optimization method using chaos of discrete gradient dynamics

IFAC Proceedings Volumes (IFAC-PapersOnline)

Volumn 37, Issue 12, 2004, Pages 825-830

  Masuda, Kazuaki ^a   Aiyoshi, Eitaro ^a  

^a KEIO UNIVERSITY   (Japan)

Author keywords

Chaotic behavior; Discrete time systems; Global optimization; Gradient methods; Nonlinear systems

Indexed keywords

DIGITAL CONTROL SYSTEMS; DISCRETE TIME CONTROL SYSTEMS; DYNAMICAL SYSTEMS; DYNAMICS; GRADIENT METHODS; NONLINEAR DYNAMICAL SYSTEMS; NONLINEAR SYSTEMS; SIGNAL PROCESSING;

CHAOTIC ANNEALING; CHAOTIC BEHAVIORS; CHAOTIC PROPERTIES; DISCRETE - TIME SYSTEMS; DISCRETE GRADIENT; GLOBAL OPTIMIZATION METHOD; GLOBAL SEARCHING ABILITY; GRADIENT DYNAMICS;

GLOBAL OPTIMIZATION;

EID: 34250705125     PISSN: 14746670     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1016/S1474-6670(17)31572-0     Document Type: Conference Paper

References (7)

1. C.Zhou and T.Chen (1997). Chaotic annealing for optimization. Phys. Rev. E. 55(3), 2580–2587.
2. I.Tokuda, K.Onodera, R.Tokunaga, K.Aihara and T.Nagashima (1996). Global bifurcation scenario for chaotic annealing dynamical system which solves optimization problem and analysis on its optimization capability. IEICE Trans. J80-A(6), 936–948.
3. J.Nocedal and S.J.Wright (1999). Numerical Optimization. Springer-Verlag.
4. n. Proc. Japan. Acad. 58(A), 178–181.
5. M.Yamaguti and H.Matano (1979). Euler’s finite difference scheme and chaos. Proc. Japan. Acad. 55(A), 78–80.
6. R.Fretcher (1987). Practical Methods of Optimization. JOHN WILEY & SONS.
7. S.Haykin (1998). Neural Networks: A comprehensive foundation. Prentice Hall.