Genetic Algorithm Viewer 1.0

Genetic Algorithm Viewer was designed to show the functioning of a genetic algorithm.

Genetic Algorithm Viewer permits the user to test the major parameters of a genetic algorithm.

Physics, Biology, Economy or Sociology often have to deal with the classical problem of optimization. Economy particularly has become specialist of that field1. Generally speaking, a large part of mathematical development during the XVIIIth century dealt with that topic (remember those always repeated problems where you had to obtain the derivative of a function to find its extremes).

Purely analytical methods widely proved their efficiency. They nevertheless suffer from a insurmountable weakness : Reality rarely obeys to those wonderful differentiable functions your professors used to show you2.

Other methods, combining mathematical analysis and random search have appeared. Imagine you scatter small robots in a Mountainous landscape.

Those robots can follow the steepest path they found. When a robot reaches a peak, it claims that it has found the optimum. This method is very efficient, but theres no proof that the optimum has been found, each robot can be blocked in a local optimum. This type of method only works with reduced search spaces.