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t claSSifications: Networks/graphs, heuristics: algorithms for graph partitioning. Simulation, applications: optimization by simulated annealing. CECILIA R. ARAGON
 

Summary: t claSSifications: Networks/graphs, heuristics: algorithms for graph partitioning. Simulation, applications: optimization by simulated annealing.
ARTICLES
CECILIA R. ARAGON
University ofCalifornia, Berkeley, California
0030-364X/89/37060865 $01.25
1989 Operations Research Society of America
new problems (even in the absence of deep insight
into the problems themselves) and, because of its
apparent ability to avoid poor local optima, it offers
hope of obtaining significantly better results.
These observations, together with the intellectual
appeal of the underlying physical analogy, have
inspired articles in the popular scientific press (Science
82, 1982 and Physics Today 1982) as well as attempts
to apply the approach to a variety of problems, in
areas as diverse as VLSI design (Jepsen and
Gelatt 1983, Kirkpatrick, Gelatt and Vecchi 1983,
Vecchi and Kirkpatrick 1983, Rowan and Hennessy
1985), pattern recognition (Geman and Geman 1984,
Hinton, Sejnowski and Ackley 1984) and code gen-

  

Source: Aragon, Cecilia R. - Computational Research Division, Lawrence Berkeley National Laboratory

 

Collections: Multidisciplinary Databases and Resources; Computer Technologies and Information Sciences