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Open Source Java platform for Optimization, DoE, and Learning.
...It provides a graphical user interface (GUI) and a platform which simplifies integration of new algorithms as "Modules".
Implemented Modules
Evolutionary Algorithms:
- CMA-ES
- (1+1)-ES
- Differential Evolution
Deterministic optimization algorithm:
- SIMPLEX
Learning:
- a simple Artificial Neural Net
Optimization problems:
- test functions
- interface for executing other programs (solvers)
- parallel execution of problems
- distributed execution of problems via socket connection between computers
Others:
- data storage
- data analyser and viewer
This project provides a set of Python tools for creating various kinds of neural networks, which can also be powered by genetic algorithms using grammatical evolution. MLP, backpropagation, recurrent, sparse, and skip-layer networks are supported.
The Mars Rover Simulator project is based on the evolutionary robotics paradigm where an artificial agent acquires its skills through the process of artificial evolution. This simulator can be useful to evolve neural network controllers for the rover
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