Closed jonrkarr closed 3 years ago
Hello Frank,
The requested terms should be available since KISAO version 2.5:
Simulated Annealing KISAO_0000503 Random Search KISAO_0000504 Particle Swarm KISAO_0000505 Genetic Algorithm KISAO_0000506
Truncated Newton KISAO_0000510 Steepest Descent KISAO_0000511 Praxis KISAO_0000512 NL2SOL KISAO_0000513 Nelder - Mead KISAO_0000514 Levenberg - Marquardt KISAO_0000515 Hooke & Jeeves KISAO_0000516
Number of Generations KISAO_0000517 Population Size KISAO_0000519 Iteration Limit -- I believe this exists already as maximum iterations KISAO_0000486 Tolerance -- we already had absolute tolerance KISAO_0000211 and relative tolerance KISAO_0000209
Kind regards, Anna
Original comment by: annazhukova
Original comment by: annazhukova
Hello,
in order to be able to express parameter estimation tasks in SED-ML we need the capability of defining some optimization methods. Under:
KISAO_0000472: Simulated Annealing Random Search Particle Swarm Genetic Algorithm
and under KISAO_0000471: Truncated Newton Steepest Descent Praxis NL2SOL Nelder - Mead Levenberg - Marquardt Hooke & Jeeves
description of the methods i like here: http://copasi.org/Support/User_Manual/Methods/Optimization_Methods/
associated parameters would be nice as well, at the bare minimum we would need (full list of parameters listed on the site above):
Number of Generations: The parameter is a positive integer value to determine the number of generations the algorithm shall evolve the population.
Population Size: The parameter is a positive integer value to determine the size of the population
Iteration Limit: This parameter is positive integer determining the maximum number of iterations the algorithm shall perform.
Tolerance This parameter is a positive value determining the tolerance with which the solution shall be determined. If the improvement between two steps is less than the tolerance the algorithm stops.
Thank you so much,
best Frank
Reported by: *anonymous