One of the oldest and simplest techniques for solving combinatorial optimization problems is called simulated annealing. This article shows how to implement simulated annealing for the Traveling ...

Code optimization is a technique by which we can optimize our code by deleting all "dead codes" and by eleminating "common expressions" from the inputs. Dead code is ...

In these times, when ML and AI has taken over the simple analysis with programming languages like Python, I wanted to explore the power of Microsoft Excel. The data for portfolio optimization is ...

ProcessOptimizer is a Python package designed to provide easy access to advanced machine learning techniques, specifically Bayesian optimization using, e.g., Gaussian processes. Aimed at ...

OptiMods provides data-driven APIs for specific optimization problems ... all of which can be run using the free, limited-size Gurobi license that is automatically included in the Gurobi Python ...