Parallel Genetic Algorithm Library is a C-based software that helps create genetic algorithm code efficiently. With its toolkit, the library eases the process of developing genetic algorithms for efficient optimization problems.
Are you tired of writing inefficient and cumbersome genetic algorithm code that only works on a single processor? Look no further than the Parallel Genetic Algorithm Library (PGAL for short), a C toolkit designed to simplify the process of producing efficient and multi-processor friendly genetic algorithm code.
But PGAL isn't just limited to multi-processor computers. It also supports distributed and cluster computing environments like openMosix, making it a versatile tool for a wide range of applications.
The installation requires MySQL and MySQL Development libraries to be pre-installed on your computer. Once those are in place, simply compile the code by navigating to the PGAL source directory and running "make depend" followed by "make". Then, install the toolkit using the superuser's password and running "make install".
After installation, set up your database by running "pgal_db_setup". This will prompt you for information about your MySQL server and create a database and user for PGAL to use.
Ready to run an example? Navigate to the PGAL test directory and compile the code by running "make depend" followed by "make". Then, run the example using "./pgalTest" and watch as multiple processes run in parallel.
Overall, PGAL is a highly efficient and user-friendly toolkit that simplifies the process of producing genetic algorithm code that can be run on multiple processors. If you're looking for a way to enhance the speed and efficiency of your genetic algorithms, look no further than PGAL.
But PGAL isn't just limited to multi-processor computers. It also supports distributed and cluster computing environments like openMosix, making it a versatile tool for a wide range of applications.
The installation requires MySQL and MySQL Development libraries to be pre-installed on your computer. Once those are in place, simply compile the code by navigating to the PGAL source directory and running "make depend" followed by "make". Then, install the toolkit using the superuser's password and running "make install".
After installation, set up your database by running "pgal_db_setup". This will prompt you for information about your MySQL server and create a database and user for PGAL to use.
Ready to run an example? Navigate to the PGAL test directory and compile the code by running "make depend" followed by "make". Then, run the example using "./pgalTest" and watch as multiple processes run in parallel.
Overall, PGAL is a highly efficient and user-friendly toolkit that simplifies the process of producing genetic algorithm code that can be run on multiple processors. If you're looking for a way to enhance the speed and efficiency of your genetic algorithms, look no further than PGAL.
What's New
Version 0.99: N/A