Source code for surrogate.crossover.cxOnePoint
# Copyright 2016 Quan Pan
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# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
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# http://www.apache.org/licenses/LICENSE-2.0
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# Unless required by applicable law or agreed to in writing, software
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# Author: Quan Pan <quanpan302@hotmail.com>
# License: Apache License, Version 2.0
# Create: 2016-12-02
import numpy as np
[docs]def cxOnePoint(var1, var2):
"""Executes a one point crossover on the input :term:`sequence` individuals.
The two individuals are modified in place. The resulting individuals will
respectively have the length of the other.
:param var1: The first variable participating in the crossover.
:param var2: The second variable participating in the crossover.
:returns: A tuple of two variables.
This function uses the :func:`~random.randint` function from the
python base :mod:`random` module.
"""
size = min(len(var1), len(var2))
# size = min(var1.size, var2.size)
cxpoint = np.random.randint(1, size - 1)
var1[cxpoint:], var2[cxpoint:] = var2[cxpoint:], var1[cxpoint:]
# var1[cxpoint:], var2[cxpoint:] = var2[cxpoint:].copy(), var1[cxpoint:].copy()
return var1, var2