Fast Genetic Algorithm is an efficient and robust implementation of a universal genetic algorithm that is both easy-to-use and potent.
Fast Genetic Algorithm is a software tool that comes packed with a wide range of capabilities. This general genetic algorithm is both simple and powerful, making it an excellent solution for solving mathematical problems such as combinatorial optimization. It is also suited for creating artificial life simulations.
Written with C++, the library can be easily integrated into other applications, and is available under the GNU Lesser General Public License. The tool is filled with a variety of crossover and selection procedures that can be customized according to your specific requirements.
Moreover, you can expect further improvements through the parallelization feature that allows you to run the algorithm on multi-processor environments, thus making it more efficient. The algorithm's performance is optimized for greater accuracy, precision, and reliability.
The current development snapshot is available for download, so you can try out the working version of the library. We are excited to announce that in this latest release, the FGA library is now licensed under a custom license instead of the LGPL. Additionally, you can now define your custom selection operators, which requires one more argument in the class constructor.
Overall, Fast Genetic Algorithm is an excellent software tool that brings with it a range of helpful functionalities that can enhance your work efficiency, accuracy and speed.
Written with C++, the library can be easily integrated into other applications, and is available under the GNU Lesser General Public License. The tool is filled with a variety of crossover and selection procedures that can be customized according to your specific requirements.
Moreover, you can expect further improvements through the parallelization feature that allows you to run the algorithm on multi-processor environments, thus making it more efficient. The algorithm's performance is optimized for greater accuracy, precision, and reliability.
The current development snapshot is available for download, so you can try out the working version of the library. We are excited to announce that in this latest release, the FGA library is now licensed under a custom license instead of the LGPL. Additionally, you can now define your custom selection operators, which requires one more argument in the class constructor.
Overall, Fast Genetic Algorithm is an excellent software tool that brings with it a range of helpful functionalities that can enhance your work efficiency, accuracy and speed.
What's New
Version 1.4: N/A