Cooling schedules for optimal annealing
Mathematics of Operations Research
Simulated annealing: theory and applications
Simulated annealing: theory and applications
Simultaneous Parameter Estimation and Segmentation of Gibbs Random Fields Using Simulated Annealing
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Bayesian filter for a mixture model of noise in image remote sensing
Computational Statistics & Data Analysis
Parallel prototyping leads to better design results, more divergence, and increased self-efficacy
ACM Transactions on Computer-Human Interaction (TOCHI)
The effect of cooling functions on ensemble clustering using simulated annealing
Intelligent Data Analysis
Task allocation in mesh connected processors with local search meta-heuristic algorithms
ACIIDS'10 Proceedings of the Second international conference on Intelligent information and database systems: Part II
Study of multiscale global optimization based on parameter space partition
Journal of Global Optimization
Improving FPGA placement with dynamically adaptive stochastic tunneling
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
EURASIP Journal on Wireless Communications and Networking
Unifying geometric, probabilistic, and potential field approaches to multi-robot deployment
International Journal of Robotics Research
Metaheuristic optimization: algorithm analysis and open problems
SEA'11 Proceedings of the 10th international conference on Experimental algorithms
Hierarchical parallel simulated annealing and its applications
ICA3PP'05 Proceedings of the 6th international conference on Algorithms and Architectures for Parallel Processing
Numerical treatment of nonlinear Emden---Fowler equation using stochastic technique
Annals of Mathematics and Artificial Intelligence
Feature reinforcement learning in practice
EWRL'11 Proceedings of the 9th European conference on Recent Advances in Reinforcement Learning
Romano: autonomous storage management using performance prediction in multi-tenant datacenters
Proceedings of the Third ACM Symposium on Cloud Computing
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part I
Computational optimization strategies for the simulation of random media and components
Computational Optimization and Applications
Proceedings of the Winter Simulation Conference
Subtree selection in kernels for graph classification
International Journal of Data Mining and Bioinformatics
A novel particle filter with implicit dynamic model for irregular motion tracking
Machine Vision and Applications
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We prove the convergence of the simulated annealing procedure when the decision to change the current configuration is blind of the cost of the new configuration. In case of filtering binary images, the proof easily generalizes to other procedures, including that of Metropolis. We show that a function Q associated with the algorithm must be chosen as large as possible to provide a fast rate of convergence. The worst case (Q constant) is associated with the "blind" algorithm. On the other hand, an appropriate Q taking sufficiently high values yields a better rate of convergence than that of Metropolis procedure.