80b0fe3251
Pyevolve was developed to be a complete genetic algorithm framework written in
pure python. The main objectives of Pyevolve are:
.
* written in pure python - to maximize the cross-platform aspect
* easy to use API - the API must be easy to the end-user
* see the evolution - the user can and must see and interact with the
evolution statistics, graphs, etc.
* extensible - the API must be extensible, the user can create
new representations, genetic operators such as
crossover, mutation, etc.
* fast - the design must be optimized for performance
* common features - the framework must implement the most common
features: selectors like roulette wheel,
tournament, ranking, uniform. Scaling schemes
such as linear scaling, etc.
* default parameters - we must have default operators, settings, etc
in all options
* open-source - the source is for everyone, not only for one.
18 lines
1.1 KiB
Text
18 lines
1.1 KiB
Text
Pyevolve was developed to be a complete genetic algorithm framework written in
|
|
pure python. The main objectives of Pyevolve are:
|
|
.
|
|
* written in pure python - to maximize the cross-platform aspect
|
|
* easy to use API - the API must be easy to the end-user
|
|
* see the evolution - the user can and must see and interact with the
|
|
evolution statistics, graphs, etc.
|
|
* extensible - the API must be extensible, the user can create
|
|
new representations, genetic operators such as
|
|
crossover, mutation, etc.
|
|
* fast - the design must be optimized for performance
|
|
* common features - the framework must implement the most common
|
|
features: selectors like roulette wheel,
|
|
tournament, ranking, uniform. Scaling schemes
|
|
such as linear scaling, etc.
|
|
* default parameters - we must have default operators, settings, etc
|
|
in all options
|
|
* open-source - the source is for everyone, not only for one.
|