Example of evaluation function, see https://groups.google.com/d/topic/deap-users/iyEgrd4OHKc/discussion

graph_evaluator.py

import networkx
from metric import measure_A, measure_B, measure_C, measure_D

def evaluate(individual):
    matrix = numpy.zeros((n,n))
    index = 0
    for i in range(n-1):
        for j in range(i+1, n):
            matrix[i,j] = matrix[j,i] = individual[index]
            index += 1
    graph = networkx.from_numpy_matrix(matrix)
    return measure_A(graph), measure_B(graph), measure_C(graph), measure_D(graph)