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 ...

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

Researchers have developed a new, data-driven machine-learning technique that speeds up software programs used to solve complex optimization problems that can have millions of potential solutions ...

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

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.