A Python library for modeling and solving linear programming (LP) and mixed-integer linear programming (MILP) optimization problems.
PuLP
- Python
- Automatisierung, Datenanalyse, Mathematik, PLM und ERP, Prozesskontrolle
- Algorithmen für die vorausschauende Wartung, Prozess-Optimierung, Ressourceneffiziente Produkte, Statistische Analyse, Nachhaltigkeitsmetriken
Merkmale:
- LP/MILP problem modeling,Pythonic syntax for variables,constraints,objectives,interfaces with various solvers (CBC,Gurobi,CPLEX,GLPK,SCIP),problem export to MPS/LP formats,sensitivity analysis (solver dependent),status checking of solutions
Preisgestaltung:
- Kostenlos
- Easy to use for defining LP/MILP problems in Python, solver-agnostic (can switch solvers easily), open-source, good documentation and examples, part of the COIN-OR suite.
- Limited to LP/MILP problems (no nonlinear support directly without extensions), performance depends heavily on the chosen underlying solver, error messages from solvers can be cryptic.
Am besten geeignet für:
- Operations researchers, data scientists, and engineers who need to model and solve linear or mixed-integer optimization problems for planning, scheduling, and resource allocation.