Release notes
Most important changes in Indago releases are listed here. Breaking changes are indicated by the sign.
Indago 0.5.0
New features
HSIW inertia technique for PSO
FullyEmployed variant of ABC
scatter_method optimizer parameter, with ‘halton’ option for using Halton sequence for initializing design vectors
New method: Random Search (RS)
Optimizer.plot_history() is improved to produce better and fancier plots.
Export of all evaluated candidate solutions (Optimizer.evals_db parameter)
New utility functions: unconstrain() and read_evals_db()
New method: Grey Wolf Optimization (GWO)
Checking for unknown (illegal) optimizer attributes
Some important optimizer parameters can be given as evaluation_function attributes (namely dimensions, lb, ub, objectives, constraints, objective_weights, objective_labels, constraint_labels)
Optimizer.status providing textual information on the optimizer state
CandidateState.is_feasible() for checking whether the solution is feasible (i.e. whether it satisfies all constraints)
Optimizer.copy() produces a (deep) copy of an Optimizer object
Improvements
Cleaner log messages
Better documentation
Completely rewritten ABC (significantly different behavior expected)
New (shorter and more consistent) param names in almost all methods
NelderMead method now has an abbreviation (NM), just like all other methods
CEC 2014 benchmark test is removed (we are working on a much more comprehensive benchmark test suite)
New defaults in minimize_exhaustive()
More consistent error reporting style
New (better) default param values for all methods
Better evaluation error handling
number_of_processes parameter is now called processes
Updated requirements (most importantly python>=3.9)
Optimizer.plot_history() can skip subplots if needed. Useful for turning off dysfunctional subplots with too many plot lines.
Bug fixes
target_fitness stopping criterion is not ignored any more
Fixed stopping criteria overshooting defined targets
Fixed memory leak due to circular referencing in Optimizer and CandidateState objects
Fixed multiple problems in MSGS
Fixed some evaluation retrying problems
Rich-based features adapted to a new version of rich