inspyred 1.0

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


Example
=======

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)]

@inspyred.ec.evaluators.evaluator
def evaluate_binary(candidate, args):
return int("".join([str(c) for c in candidate]), 2)

rand = random.Random()
rand.seed(int(time.time()))
ga = inspyred.ec.GA(rand)
ga.observer = inspyred.ec.observers.stats_observer
ga.terminator = inspyred.ec.terminators.evaluation_termination
final_pop = ga.evolve(evaluator=evaluate_binary,
generator=generate_binary,
max_evaluations=1000,
num_elites=1,
pop_size=100,
num_bits=10)
final_pop.sort(reverse=True)
for ind in final_pop:
print(str(ind))


Requirements
============

* 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.


License
=======

This package is distributed under the GNU General Public License
version 3.0 (GPLv3). This license can be found online at
http://www.opensource.org/licenses/gpl-3.0.html.


Resources
=========

* Homepage: http://inspyred.github.com
* Email: aaron.lee.garrett@gmail.com