Performance and parameterization of the algorithm Simplified Generalized Simulated Annealing

@inproceedings{Jnior2004PerformanceAP,
  title={Performance and parameterization of the algorithm Simplified Generalized Simulated Annealing},
  author={Alcino Dall’Igna J{\'u}nior and Renato Sim{\~o}es Silva and Kleber C. Mundim and Laurent Emmanuel Dardenne},
  year={2004}
}
The main goal of this study is to find the most effective set of parameters for the Simplified Generalized Simulated Annealing algorithm, SGSA, when applied to distinct cost function as well as to find a possible correlation between the values of these parameters sets and some topological characteristics of the hypersurface of the respective cost function. The SGSA algorithm is an extended and simplified derivative of the GSA algorithm, a Markovian stochastic process based on Tsallis statistics… CONTINUE READING