Abstract: Python has become the programming language of choice for research and industry projects related to data science, machine learning, and deep learning. Since optimization is an inherent part ...

What if the next powerful refinery optimization tool didn’t start with a large software system, but with a simple Excel sheet? That’s actually how many real engineering solutions begin. Someone tests ...

Python provides an integrated analytical ecosystem for solving core supply chain problems such as demand forecasting, inventory planning, transportation routing, and operational simulation.

Credit: VentureBeat made with Nano Banana Pro via Fal.ai The generative AI era has sped everything up for most enterprises we talk to, especially development cycles (thanks to "vibe coding" and ...

PyBADS is a Python implementation of the Bayesian Adaptive Direct Search (BADS) algorithm for solving difficult and mildly expensive optimization problems, originally implemented in MATLAB. BADS has ...

mlrose is a Python package for applying some of the most common randomized optimization and search algorithms to a range of different optimization problems, over both discrete- and continuous-valued ...

Quantum annealing (QA) has the potential to significantly improve solution quality and reduce time complexity in solving combinatorial optimization problems compared to classical optimization methods.

$$\begin{aligned} \sigma _i(t+1) = \textrm{sgn}\Bigl (r_i(t) + \textrm{tanh}\bigl (I_i(t+1)\bigr )\Bigr ), \end{aligned}$$ Simulated annealing that utilizes p-bits ...

Optimized apps and websites start with well-built code. The truth, however, is that you don't need to worry about performance in 90% of your code, and probably 100% for many scripts. It doesn't matter ...