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

Project description

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 do not 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 MIT License. This license can be found online at


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