Genetic Algorithms: Applications

The genetic algorithm software is a genetic algorithm which uses Genetic Server and Genetic Library. Evolutionary computing with genetic program by John Holland, David Goldberg, Evolover

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Genetic Algorithms: Common Applications

Scheduling
Genetic Algorithms (GA) can be used for numerous scheduling problems. Using a GA for difficult scheduling problems enables relatively arbitrary constraints and objectives to be incorporated painlessly into a single optimization method.

Computer Games
Genetic Algorithms can be used to evolve behaviors of characters and events with in computer games. As players interact with characters and events the game's GA will come up with an encoding to represent that player's strategies, one that is amenable to crossover and to mutation.

Stock Market Trading
Genetic Algorithms can be used to improve trading systems. Using GAs, active traders can optimize inputs, indicators, and rules for their trading systems and increase returns.

Medical
Genetic Algorithms can be used throughout the medical field. GAs can help develop treatment programs, optimize drug formulas, improve diagnostics, and much more.