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 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 ...

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. “Many people have real-life business problems that can be solved with mathematical optimization, and they don’t even realize it.

The data for portfolio optimization is extracted using the Yahoo Financial Python API. In this project, I considered the stock Adjusted Close Prices of five major indicators - SPY,BND,GLD,QQQ, and VTI ...