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 ...

Telling AI model to “take a deep breath” causes math scores to soar in study DeepMind used AI models to optimize their own prompts, with surprising results.

Researchers from DeepMind have proposed Optimization by PROmpting (OPRO), a method that uses AI large language models (LLM) as optimizers.

In this paper, a nonsmooth vector optimization problem with cone and equality constraints is considered. We establish some relations between the notions of vector critical points in the sense of Fritz ...

Finding the optimal routing paths for the vehicles is in and of itself a highly complex mathematical problem in the field of combinatorial optimization.

Let’s Make a Deal—With Python! The "Monty Hall problem" is a classic example of how games of chance can have surprising results. Here’s a fun way to model the problem.

But the ecosystem at large agrees that Kubernetes has a cost problem. Unfortunately, the predominant way to cut costs is itself a liability. The problem is not Kubernetes.