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A framework for creating bio-inspired computational intelligence algorithms in Python.

Project description

``inspyred`` -- A framework for creating bio-inspired computational intelligence algorithms in Python.

inspyred is a free, open source framework for creating biologically-inspired
computational intelligence algorithms in Python, including evolutionary
computation, swarm intelligence, and immunocomputing. Additionally, inspyred
provides easy-to-use canonical versions of many bio-inspired algorithms for
users who don't need much customization.


The following example illustrates the basics of the inspyred package. In this
example, candidate solutions are 10-bit binary strings whose decimal values
should be maximized::

import random
import time
import inspyred

def generate_binary(random, args):
bits = args.get('num_bits', 8)
return [random.choice([0, 1]) for i in range(bits)]
def evaluate_binary(candidate, args):
return int("".join([str(c) for c in candidate]), 2)

rand = random.Random()
ga = =
ga.terminator =
final_pop = ga.evolve(evaluator=evaluate_binary,
for ind in final_pop:


* Requires at least Python 2.6+ or 3+.
* Numpy and Pylab are required for several functions in ``ec.observers``.
* Pylab and Matplotlib are required for several functions in ``ec.analysis``.
* Parallel Python (pp) is required if ``ec.evaluators.parallel_evaluation_pp`` is used.


This package is distributed under the GNU General Public License
version 3.0 (GPLv3). This license can be found online at


* Homepage:
* Email:

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