Simulated Annealing Demonstration 1.0
This is a Java application that will demonstrate the Simulated Annealing algorithm with an attack on the "traveling salesman" problem.
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0.00 
Freeware
0K
Windows Vista 
This is a Java application that will demonstrate the Simulated Annealing algorithm with an attack on the "traveling salesman" problem. What is simulated annealing? Simulated annealing is a technique, which was developed to help solve large combinatorial optimization problems.
It is based on probabilistic methods that avoid being stuck at local (non-global) minima. It has proven to be a simple but powerful method for large-scale combinatorial optimization.
For practical purposes, simulated annealing has solved the famous traveling salesman problem: find the shortest of N! paths connecting N cities. Simulated annealing finds a very good approximation to the shortest path out of the huge number of all possible paths. Annealing is nature's trick to find extrema in very complicated situations.
Simulated annealing mimics on a computer the natural process by which crystal lattices of glass or metal relax when heated. The molecules of hot glass or metal are free to move about. Temperature is an average of the thermal energy in each molecule of an object.
If the temperature drops quickly, these molecules solidify into a complex structure. However, if the temperature drops slowly, they form a highly ordered crystal. The molecules of a crystal solidify into a minimal energy state.
Some real applications simulated annealing:
The algorithm:
In the simulated annealing algorithm, an objective function to be minimiz
tags
simulated annealing the simulated annealing algorithm the temperature solidify into the molecules temperature drops combinatorial optimization traveling salesman salesman problem the shortest
Download Simulated Annealing Demonstration 1.0
Download Simulated Annealing Demonstration 1.0
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