elitistreplacement.m

来自「This matlab code on reed solomon and BCH」· M 代码 · 共 41 行

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% File: ElitistReplacement.m
%
% Description: Perform Lambda+Mu elitist replacement. Combine parent and
% offspring population and choose the best n individuals
%
% @param population is the parent population
%
% @param fitness is the fitness of parent individuals
%
% @param newPopulation is the offspring population
%
% @param newFitness is the fitness of offspring individuals
%
% @return bestPopulation is the top n individuals from the combined
% population of parent and offspring individuals.
%
% @return bestFitness is the fitness of the top n individuals from the
% combined population of parent and offspring individuals.
%
% Author: Kumara Sastry
%
% Date: March 2007
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function [bestPopulation, bestFitness] = elitistReplacement(population, fitness, newPopulation, newFitness)

% Determine the population size;
n = size(population,1);

% Combine the parent and offspring population and their fitness values
combinedPopulation = [population; newPopulation];
combinedFitness = [fitness; newFitness];

% Sort the combined fitness vector
[sortedFitness, index] = sort(combinedFitness, 'descend');

% Select the top n individuals and their fitness.
bestPopulation = combinedPopulation(index(1:n),:);
bestFitness = combinedFitness(index(1:n));