An AUGMECON based multi-objective optimization solver for Pyomo.
copied from cf-post-staging / pyaugmeconPyAUGMECON solves multi-objective optimization problems defined in Pyomo using the augmented epsilon-constraint method (AUGMECON) and its variants (AUGMECON2, AUGMECON-R). It generates the Pareto front by solving a sequence of single-objective subproblems with epsilon constraints, supports exact and sampled grid modes, and runs subproblems in parallel across multiple processes.
Solver bindings (highspy, gurobipy, xpress) are not bundled by this package. Install them separately: conda install -c conda-forge highspy
