Annealing the Underground

This article discusses the optimization challenge of visiting all 270 London Underground stations in the shortest time (Tube Challenge), framing it as a traveling salesman problem. It explains how brute-force solutions become impractical due to factorial scaling, and introduces simulated annealing as an approximate algorithm inspired by physical annealing in metals. The article details the mathematical basis of simulated annealing, including energy states and temperature, and applies it to minimize total path length in the traveling salesman problem. It is relevant to IT/TECHNOLOGY as it covers algorithms, optimization, and computational problem-solving.