SSm GO toolbox
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SSm GO - a toolbox for global optimization in Matlab using scatter search
DescriptionSSm GO is a Matlab toolbox with several global optimization algorithms for nonlinear optimization problems (NLPs and MINLPs) based on Scatter Search.
This package requires Windows and Matlab and is available at no cost to ACADEMIC USERS.
See more details on requirements here.
The method is described in these publications (please cite them if you publish results obtained with this toolbox):
Egea, J.A., Martí, R., & Banga, J.R. (2010). An evolutionary method for complex-process optimization. Computers and Operations Research 37(2):315-324.
Egea, J.A., M. Rodriguez-Fernandez, J. R. Banga and R. Martí (2007) Scatter Search for chemical and bioprocess optimization. Journal of Global Optimization 37(3):481-503.
Rodriguez-Fernandez, M., J. A. Egea and J. R. Banga (2006) Novel Metaheuristic for Parameter Estimation in Nonlinear Dynamic Biological Systems. BMC Bioinformatics 7:483.(PDF) (abstract)
This package requires Windows and Matlab and is available at no cost to ACADEMIC USERS.
See more details on requirements here.
The method is described in these publications (please cite them if you publish results obtained with this toolbox):
Egea, J.A., Martí, R., & Banga, J.R. (2010). An evolutionary method for complex-process optimization. Computers and Operations Research 37(2):315-324.
Egea, J.A., M. Rodriguez-Fernandez, J. R. Banga and R. Martí (2007) Scatter Search for chemical and bioprocess optimization. Journal of Global Optimization 37(3):481-503.
Rodriguez-Fernandez, M., J. A. Egea and J. R. Banga (2006) Novel Metaheuristic for Parameter Estimation in Nonlinear Dynamic Biological Systems. BMC Bioinformatics 7:483.(PDF) (abstract)
