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EO is a template-based, ANSI-C++ evolutionary computation library which helps you to write your own stochastic optimization algorithms insanely fast. With the help of EO, you can easily design evolutionary algorithms that will find solutions to virtually all kind of hard optimization problems ... [More]
Java framework for applying optimization algorithms like Evolutionary Algorithms, Particle Swarm Optimizers, or Simulated Annealing to arbitrary optimization problems.
The dANN project is a library to help facilitate artificial neural networks within other applications. It is currently written in Java, C++, and C#. However only the java version is currently in active development. If you want to obtain a version other than the java version you will need to get it ... [More]
EpochX is a genetic programming framework for Java. It is designed specifically for the task of analyzing evolutionary automatic programming, so is ideal for researchers who require an extendable system for studying the effects of new operators or procedures. EpochX supports 3 popular ... [More]
Vita is a scalable, high performance C++ environment / toolkit for classification, symbolic regression, content base images retrieval, data mining and agent control.
DEAP is intended to be an easy to use distributed evolutionary algorithm library in the Python language. Its two main components are modular and can be used separately. The first module is a Distributed Task Manager (DTM), which is intended to run on cluster of computers. The second part is the Evolutionary Algorithms in Python (EAP) framework.
PyevolveDescriptionThis project focus on development of a complete cross-platform (Windows, Linux) framework for Genetic Algorithms in pure python. The project is in active development, and I'm doing great efforts to release a good version and documentation soon. Main features: Many selector ... [More]
Meta-optimizing semantic evolutionary search (MOSES) is a new approach to program evolution, based on representation-building and probabilistic modeling. MOSES has been successfully applied to solve hard problems in domains such as computational biology, sentiment evaluation, and agent control. ... [More]
OCamL, Genetic Programming (news: currently porting to F# for easier GUI production) Abstraction-Based Genetic Programming (ABGP)ABGP is a genetic programming system in which the genotype search space is partitioned by the proofs to which each program is linked to via the Curry-Howard isomorphism. ... [More]