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IEAAIE
2001
Springer
13 years 10 months ago
On the Relationship between Learning Capability and the Boltzmann-Formula
In this paper a combined use of reinforcement learning and simulated annealing is treated. Most of the simulated annealing methods suggest using heuristic temperature bounds as the...
Péter Stefán, Laszlo Monostori
PDP
2002
IEEE
13 years 10 months ago
Parallel Simulated Annealing for the Vehicle Routing Problem with Time Windows
A parallel simulated annealing algorithm to solve the vehicle routing problem with time windows is presented. The objective is to find the best possible solutions to some wellkno...
Zbigniew J. Czech, Piotr Czarnas
CORR
2000
Springer
99views Education» more  CORR 2000»
13 years 5 months ago
Adaptive simulated annealing (ASA): Lessons learned
Adaptive simulated annealing (ASA) is a global optimization algorithm based on an associated proof that the parameter space can be sampled much more efficiently than by using othe...
Lester Ingber
CPHYSICS
2006
127views more  CPHYSICS 2006»
13 years 5 months ago
GenAnneal: Genetically modified Simulated Annealing
A modification of the standard Simulated Annealing (SA) algorithm is presented for finding the global minimum of a continuous multidimensional, multimodal function. We report resu...
Ioannis G. Tsoulos, Isaac E. Lagaris
DDECS
2008
IEEE
137views Hardware» more  DDECS 2008»
14 years 7 days ago
Cluster-based Simulated Annealing for Mapping Cores onto 2D Mesh Networks on Chip
Abstract—In Network-on-Chip (NoC) application design, coreto-node mapping is an important but intractable optimization problem. In the paper, we use simulated annealing to tackle...
Zhonghai Lu, Lei Xia, Axel Jantsch