Mathematical Optimization in Julia. Local, global, gradient-based and derivative-free. Linear, Quadratic, Convex, Mixed-Integer, and Nonlinear Optimization in one simple, fast, and differentiable interface.
What kind of problems is it mostly used for? Please describe.
Enhanced Scatter Search (eSS) is a metaheuristic used in optimisation of large ODE models cellular signalling networks. It is currently used in the R package CellNopt, where it is mainly used for parameter estimation of the ODE-variant of the logic signalling models.
Describe the algorithm you’d like
The algorithm as implemented in C or the AMIGO2 toolbox. The repository of the C implementation includes a description of the algorithm.
Rodriguez-Fernandez, M., Egea, J. a, & Banga, J. R. (2006). Novel metaheuristic for parameter estimation in nonlinear dynamic biological systems. BMC Bioinformatics, 7, 483. doi:10.1186/1471-2105-7-483
Egea, J. a., Martí, R., & Banga, J. R. (2010). An evolutionary method for complex-process optimization. Computers & Operations Research, 37(2), 315–324. doi:10.1016/j.cor.2009.05.003
What kind of problems is it mostly used for? Please describe.
Enhanced Scatter Search (eSS) is a metaheuristic used in optimisation of large ODE models cellular signalling networks. It is currently used in the R package CellNopt, where it is mainly used for parameter estimation of the ODE-variant of the logic signalling models.
Describe the algorithm you’d like
The algorithm as implemented in C or the AMIGO2 toolbox. The repository of the C implementation includes a description of the algorithm.
Other implementations to know about
The algorithm is currently implemented in C (https://github.com/amirmasoudabdol/eSS) and part of the AMIGO2 toolbox (https://sites.google.com/site/amigo2toolbox).
References