Simulated annealing is a computational algorithm for optimization. It mimics the physical process of thermal annealing in which a metal is heated and then slowly cooled to settle into a highly ordered crystal structure. For common metals, the lowest energy state is already known. But the method is useful for other problems where the best state is not known and exhaustively searching all possible states is impractical. The method is applied by modeling the problem as a physical system with structure, energy, and temperature. This Python module implements simulated annealing so that it can be easily applied to a variety of problems. An example program is include to perform simulated annealing of the traveling salesman problem.
Japplis Website Optimizer Lite is a program to optimize your Web pages. Using several techniques, it can reduce the size of your HTML pages by more than half. This will not only make your Web site faster, but also save bandwidth. Japplis Website Optimizer Lite can also add the height, width, and alt attributes to images if they are missing.