-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathcrossoverOperator2.m
44 lines (44 loc) · 2.41 KB
/
crossoverOperator2.m
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
% COPYRIGHT
% This file is part of TSSA: https://github.com/ayrna/tssa
% Original authors: Antonio M. Duran Rosal, Pedro A. Gutierrez
% Copyright:
% This software is released under the The GNU General Public License v3.0 licence
% available at http://www.gnu.org/licenses/gpl-3.0.html
% Citation: If you use this code, please cite any of the following papers:
% [1] M. Pérez-Ortiz, A.M. Durán-Rosal, P.A. Gutiérrez, et al.
% "On the use of evolutionary time series analysis for segmenting paleoclimate data"
% Neurocomputing, Vol. 326-327, January, 2019, pp. 3-14
% https://doi.org/10.1016/j.neucom.2016.11.101
% [2] A.M. Durán-Rosal, P.A. Gutiérrez, F.J. Martínez-Estudillo and C. Hervás-Martínez.
% "Simultaneous optimisation of clustering quality and approximation error
% for time series segmentation", Information Sciences, Vol. 442-443, May, 2018, pp. 186-201.
% https://doi.org/10.1016/j.ins.2018.02.041
% [3] A.M. Durán-Rosal, J.C. Fernández, P.A. Gutiérrez and C. Hervás-Martínez.
% "Detection and prediction of segments containing extreme significant wave heights"
% Ocean Engineering, Vol. 142, September, 2017, pp. 268-279.
% https://doi.org/10.1016/j.oceaneng.2017.07.009
% [4] A.M. Durán-Rosal, M. de la Paz Marín, P.A. Gutiérrez and C. Hervás-Martínez.
% "Identifying market behaviours using European Stock Index time series by
% a hybrid segmentation algorithm", Neural Processing Letters,
% Vol. 46, December, 2017, pp. 767–790.
% https://doi.org/10.1007/s11063-017-9592-8
%
%% crossoverOperator2
% Function: Single point cross over operator without size restriction
% Input:
% individual1: first parent
% individual2: second parent
%
% Output:
% crossedIndividual1: first offspring individual
% crossedIndividual2: second offspring individual
% flag:
% true - the crossover is sucesfully applied
% false - the crossover is not sucesfully applied
function [crossedIndividual1,crossedIndividual2,flag] = crossoverOperator2(individual1,individual2)
sizeChromosome = numel(individual1);
crossPoint = randi(sizeChromosome-3,1,1) + 1;
crossedIndividual1(1,:) = [individual1(1,1:crossPoint) individual2(1,crossPoint+1:end)];
crossedIndividual2(1,:) = [individual2(1,1:crossPoint) individual1(1,crossPoint+1:end)];
flag=true;
end