Distributed Evolutionary Algorithms in Python (DEAP) is a novel evolutionary computation framework for rapid prototyping and testing of ideas.
Pros
- Highly customizable
- Supports parallelization
Cons
- Steep learning curve
- Requires Python knowledge
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COCO (COmparing Continuous Optimisers) is a platform for systematic and sound comparisons of real-parameter global optimisers. It provides benchmark functions, easy interfaces to optimisation algorithms, and tools for processing and visualisation of data.
Distributed Evolutionary Algorithms in Python (DEAP) is a novel evolutionary computation framework for rapid prototyping and testing of ideas.
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