run_robust_optimization: Run robust optimization with multiple fallback strategies

In fb4package: 'Fish Bioenergetics 4.0' Model Implementation with High-Performance 'TMB' Backend

Run robust optimization with multiple fallback strategies

Description

Advanced optimization routine with automatic fallback strategies, multiple starting points, and comprehensive error handling. Works for both basic and hierarchical models.

Usage

run_robust_optimization(
  obj,
  method = "nlminb",
  lower = NULL,
  upper = NULL,
  max_iter = 1000,
  tolerance = 1e-06,
  n_restarts = 3,
  verbose = FALSE,
  ...
)

Arguments

obj	TMB objective function
method	Primary optimization method ("nlminb" or "optim")
lower	Lower parameter bounds (log scale)
upper	Upper parameter bounds (log scale)
max_iter	Maximum iterations
tolerance	Convergence tolerance
n_restarts	Number of random restarts if primary fails
verbose	Show optimization progress
...	Additional arguments passed to optimization function

Value

Optimization result list

fb4package documentation built on May 8, 2026, 1:07 a.m.