Automatic generation of control parameters for the threshold accepting algorithm

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2313, Issue , 2002, Pages 118-127

  Pérez, Joaquín ^a,b   Pazos, Rodolfo ^b   Velez, Laura ^c   Rodríguez, Guillermo ^a  

^a INSTITUTO DE INVESTIGACIONES ELÉCTRICAS   (Mexico)

^b INSTITUTO DE CIENCIAS FÍSICAS   (Mexico)

^c INSTITUTO TECNOLÓGICO DE CIUDAD MADERO   (Mexico)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMBINATORIAL OPTIMIZATION; HEURISTIC ALGORITHMS; HEURISTIC METHODS; OPTIMIZATION; PROBLEM SOLVING;

AUTOMATIC GENERATION; CONTROL PARAMETERS; PROBLEM DOMAIN; PROBLEM INSTANCES; SPECIFIC PROBLEMS; THRESHOLD ACCEPTING;

PARAMETER ESTIMATION;

EID: 84942907183     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: None     Document Type: Conference Paper

References (10)

1. Metropolis, N., Rosenbluth, A.W., Rosenbluth, M.N., Teller, A.H., and Teller, E.: Equation of State Calculations by Fasting Computing Machines. J. Chemical Phys., Vol. 21, (1953).
2. Ceri, S., Pelagatti, G.: Distributed Databases: Principles & Systems. McGraw-Hill, New York (1984).
3. Dueck, G., Scheuer, T.: Threshold Accepting: a General Purpose Optimization Algorithm Appearing Superior to Simulated Annealing. Journal of Computational Physics, Vol. 90 (1990) 161-175.
4. Beasley, J.F., Dowsland, K., Glover, F., Laguna, M.: Modern Heuristic Techniques for Combinatorial Problems. Colin R. Reeves, New York (1993).
5. Kirkpatrick, S., Gelatt, C.D., Vecchi, M.P.: Optimization by Simulated Annealing. Science 220 (1983) 671-680.
6. March, S.T., Rho, S.: Allocating Data and Operations to Nodes in Distributed Database Design. Transactions on Knowledge and Data Engineering, Vol. 7, No. 2 (1995).
7. Morales, L., Garduño, R., Romero, D.: The Multiple-Minima Problem in Small Peptides Revisited: the Threshold Accepting Approach. Journal of Biomolecular Structure & Dynamics, Vol. 9, No. 5 (1992) 951-957.
8. Adler, D.: Genetic Algorithms and Simulated Annealing: a Marriage Proposal. IEEE International Conference on Neural Networks (1993) 1104-1109.
9. Pérez, J., Pazos, R., Frausto, J., Ramírez, S., Reyes, F.: Dynamic Allocation of Vertical Fragments in Distributed Databases Using the Threshold Accepting Algorithm. Proceedings of 10th IASTED International Conference on Parallel and Distributed Computing and Systems, Las Vegas (1998) 210-213.
10. Telley, H., Liebling, Th.M., Mocellin, A.: Reconstruction of Polycrystalline Structures: a New Application of Combinatorial Optimization. Journal Computing, Vol. 38 (1987) 1-11.