A genetic algorithm library that is free and specializes in linear, fixed-string optimization.
If you need basic genetic operators for your project, ga is a great tool to consider. It offers useful features such as single-point crossover and mutation to manipulate genetic information. The software also supports loading and saving populations and individuals from and to XML files, which makes it easier for you to manage your data. Additionally, ga provides a straightforward method to move entire populations over TCP, both IPv4 and IPv6.
Individuals are represented by fixed-length bitstrings, with no inherent encoding. To address this limitation, ga provides functions to extract bitstrings and decode them from Gray code. You can then interpret these bitstrings according to your needs – whether as floating-point numbers, integers, ASCII, etc. – and use them to craft fitness functions appropriate to the problem.
Notably, ga is particularly suitable for multi-threaded evolution of sub-populations as well as distributed evolution of sub-populations on networked machines. Whether you're working alone or as part of a team, ga is a well-designed and easy-to-use software that can help you achieve your genetic programming goals.
Individuals are represented by fixed-length bitstrings, with no inherent encoding. To address this limitation, ga provides functions to extract bitstrings and decode them from Gray code. You can then interpret these bitstrings according to your needs – whether as floating-point numbers, integers, ASCII, etc. – and use them to craft fitness functions appropriate to the problem.
Notably, ga is particularly suitable for multi-threaded evolution of sub-populations as well as distributed evolution of sub-populations on networked machines. Whether you're working alone or as part of a team, ga is a well-designed and easy-to-use software that can help you achieve your genetic programming goals.
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