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Release Notes

v1.2.18 - py 0.0.8

Fixing subtle bug in recurrent graphs where a random seed wasn't being respected, leading to non-deterministic behavior in some cases. This fix ensures that all random operations within recurrent graphs are consistent and reproducible when a seed is provided.

Added three new types of graphs:

  • LSTM (Long Short-Term Memory) Graphs: These are a type of recurrent neural network (RNN) that can learn long-term dependencies.
  • GRU (Gated Recurrent Unit) Graphs: Similar to LSTMs, GRUs are a type of RNN that are simpler and often more efficient.
  • Mesh Graphs: Graphs structured in a mesh topology.

v1.2.17 - py 0.0.7

In response to github issue #23.

Ensuring that FloatGenes/IntGene's respect their bounds during mutation and crossover. This was a bug where mutated or crossovered genes could exceed their defined bounds, which could lead to invalid individuals in the population. This fix ensures that all FloatGenes/IntGene's remain within their specified bounds after any genetic operation. Also some optimizations and code cleanup for py-radiate. Large additions to tests.

Also adding new mutator: JitterMutator for FloatGenes. This mutator adds a small random value (jitter) to each gene, controlled by a magnitude parameter.

v1.2.16

In response to github issue #22.

Adding support for batch fitness functions and batch engine problems through a new trait (BatchFitnessFn). Some small cleanup on other fitness functions and some chromosome operators.

v1.2.15 - py 0.0.6

Adding Novelty Search to python and refactoring engine building across the rust/python bridge. Improving python's speed. Adding type checking to python and upgrading python package to >= python 3.12 to support new python generics. Improving docs to reference new functionality.

New alters:

  • EdgeRecombinationCrossover for PermutationGenes
  • PolynomialMutator for chromosomes with FloatGenes

Added code path in alters for dynamic mutation/crossover rates. This is in early dev, but an be seen in PolynomialMutator.

v1.2.14 - py 0.0.4

Added support for novelty search, fitness-based novelty, and combined novelty and fitness search. Improved documentation and examples. Improved traits for Engine and introduced one for FitnessFn. Bug fixes for pareto fronts and engine iterators.