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Library for optimization using a genetic algorithm or particle swarms

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libfgen is a library that implements an efficient and customizable genetic algorithm (GA). It also provides particle swarm optimization (PSO) functionality and an interface for real-valued function minimization or model fitting. It is written in C, but can also be compiled with a C++ compiler. Both Linux and Windows are supported.

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  • Fast and efficient GA implementation with a fixed population size.
  • Customizable GA with multiple selection, mutation and crossover types.
  • Application can provide custom seeding, mutation and crossover operators.
  • Thread-safe and can use multiple threads for fitness calculation or an archipelago of concurrent genetic algorithms.
  • Particle swarm optimization algorithm with API similar to that of the GA.
  • Higher level easy-to-use model fitting and function minimization interface that uses the GA or PSO.
  • Tested on real-world datasets (fitting orbits of exoplanets to stellar radial-velocity data).
  • Clear API with documentation provided (html).
  • Command line and graphical example programs provided.
  • Examples include the Travelling Salesman Problem, linear genetic programming and texture compression.


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Additional Project Details

Intended Audience

Developers, Science/Research

User Interface

Command-line, GTK+

Programming Language

C, C++



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