Operation Research Problems

• To give a brief summary, optimization algorithms (operation research) are used to find optimal solutions for these problems.

• Here, Solvers such as CPLEX, Gurobi, GLPK, CBC, IPOPT, and Couenne are utilized solving problems. In order for python codes to work, you need to install the aforementioned solvers.

• In all examples, Pyomo framework is used.

• Theoretical information and course details can be found via https://www.udemy.com/course/optimization-with-python-linear-nonlinear-and-cplex-gurobi/

• There are some problems that you have to solve to seek the solution of optimization problems such as linear programming (LP), mixed-integer programming (MILP), nonlinear programming (NLP), mixed-integer nonlinear programming (MINLP), and constraint programming (CP).

MILP Problem	NLP Problem	MINLP Problem

• MILP Problem is solved using MILP.py file.
• NLP Problem is solved using NLP.py file.
• MINLP Problem is solved using MNILP.py file.

Which Framework

Framework	Linear Problems	Nonlinear Problems	How easy to start with	How easy to configure a new solver and about documentation
Pyomo	X	X	High	High
Ortools	X		Very High	Low
PuLP	X		High	High
SCIP	X	X	Very High	Not possible / Low
SciPY	X	X	Low	Medium

Which Solver

Solver	Linear	Nonlinear	Free / Commercial
Gurobi	X		Commercial
Cplex	X		Commercial
CBC	X		Free
GLPK	X		Free
IPOPT		X	Free
SCIP	X	X	Free
Baron		X	Commercial