-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathEnvironmentalSelection.m
29 lines (24 loc) · 1.28 KB
/
EnvironmentalSelection.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
function [Population, FrontNo, CrowdDis] = EnvironmentalSelection(Population, N)
% The environmental selection of FPPFS
%------------------------------- Copyright --------------------------------
% Copyright (c) 2021 BIMK Group. You are free to use the PlatEMO for
% research purposes. All publications which use this platform or any code
% in the platform should acknowledge the use of "PlatEMO" and reference "Ye
% Tian, Ran Cheng, Xingyi Zhang, and Yaochu Jin, PlatEMO: A MATLAB platform
% for evolutionary multi-objective optimization [educational forum], IEEE
% Computational Intelligence Magazine, 2017, 12(4): 73-87".
%--------------------------------------------------------------------------
%% Non-dominated sorting
[FrontNo, MaxFNo] = NDSort(Population.objs, Population.cons, N);
Next = FrontNo < MaxFNo;
%% Calculate the crowding distance of each solution
CrowdDis = CrowdingDistance(Population.objs, FrontNo);
%% Select the solutions in the last front based on their crowding distances
Last = find(FrontNo==MaxFNo);
[~,Rank] = sort(CrowdDis(Last), 'descend');
Next(Last(Rank(1:N-sum(Next)))) = true;
%% Population for next generation
Population = Population(Next);
FrontNo = FrontNo(Next);
CrowdDis = CrowdDis(Next);
end