Generalized simulated annealing algorithms using Tsallis statistics: Application to conformational optimization of a tetrapeptide

1996 ◽  
Vol 53 (4) ◽  
pp. R3055-R3058 ◽  
Author(s):  
Ioan Andricioaei ◽  
John E. Straub
Keyword(s):  
Simulated Annealing ◽  
Tsallis Statistics ◽  
Annealing Algorithms

scholarly journals A simulated annealing-based algorithm for selecting balanced samples

2021 ◽  
Author(s):  
Roberto Benedetti ◽  
Maria Michela Dickson ◽  
Giuseppe Espa ◽  
Francesco Pantalone ◽  
Federica Piersimoni
Keyword(s):  
Simulated Annealing ◽  
Optimization Problem ◽  
Sample Selection ◽  
Auxiliary Information ◽  
Real Data ◽  
Simulation Experiments ◽  
Balanced Sampling ◽  
Inclusion Probabilities ◽  
Random Method ◽  
Annealing Algorithms

AbstractBalanced sampling is a random method for sample selection, the use of which is preferable when auxiliary information is available for all units of a population. However, implementing balanced sampling can be a challenging task, and this is due in part to the computational efforts required and the necessity to respect balancing constraints and inclusion probabilities. In the present paper, a new algorithm for selecting balanced samples is proposed. This method is inspired by simulated annealing algorithms, as a balanced sample selection can be interpreted as an optimization problem. A set of simulation experiments and an example using real data shows the efficiency and the accuracy of the proposed algorithm.

scholarly journals Comparison between simulated annealing algorithms and rapid chain delineation in the construction of genetic maps

2010 ◽  
Vol 33 (2) ◽  
pp. 398-408 ◽  
Author(s):  
Moysés Nascimento ◽  
Cosme Damião Cruz ◽  
Luiz Alexandre Peternelli ◽  
Ana Carolina Mota Campana
Keyword(s):  
Simulated Annealing ◽  
Genetic Maps ◽  
Annealing Algorithms
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