Combined strategy of improved simulated annealing and genetic algorithm for inverse problem

IEEE Transactions on Magnetics

Volumn 32, Issue 3 PART 2, 1996, Pages 1326-1329

  Renyuan, Tang ^a  

^a SHENYANG POLYTECHNIC UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

CONVERGENCE OF NUMERICAL METHODS; GENETIC ALGORITHMS; GEOMETRY; PROBABILITY; SIMULATED ANNEALING; SYNCHRONOUS GENERATORS; VECTORS;

ITERATIONS; METROPOLIS PROCESS; OBJECTIVE FUNCTION; STEP VECTOR;

INVERSE PROBLEMS;

EID: 0030149661     PISSN: 00189464     EISSN: None     Source Type: Journal    
DOI: 10.1109/20.497490     Document Type: Article

References (5)

1. S. kirkpatrick,et al, Optimization by mmlnîed annealing, Science. 220(1983), pp,671-680.
2. Anton Dekkers, et ai. , Global optimization and simulated annealing, Maüi. Programmiag, 50(1991), pp. 367-393.
3. A. Corna,et al. , Minimizing multiraodal functions of continuous variables witih "simulated annealing" algorithm, ACM Trans. Matli. Sol't. . Vol. 13, Sept. , 1987. pp. 262-280.
4. Mnnfred K n op er, Sbnpe fiplimi7/it 1011 hy evrtlnl ifi crfr. ateg. y FFl'. T-Trans. MagQ. , Vol. 28, No. 2, 1992,pp. 1556-1560.
5. Muhlenbein, et al. , The parallel genetic algorithm as function optimizer, Parallel Computing, 17(1991), pp. 619-632.