replace some individuals in the current population using genetic algorithm, matlab

Question

Chang 2013-12-5

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https://ww2.mathworks.cn/matlabcentral/answers/108750-replace-some-individuals-in-the-current-population-using-genetic-algorithm-matlab

回答： Ahmed Rageh 2018-3-5

Hello,

I'd like to use genetic algorithm to solve optimization problems based on the available commands ga or gamultiobj in matlab. But I want to make some change:

|Evaluate the objective values of the current offspring (population), and sort out m individuals with the worst fitness values and some individuals with the best fitness values;

Create m new individuals based on the best individuals, replace the m worst individuals with the newly creased ones;

Start the next round of evolution...|

Is it possible to re-conduct the ga or gamultiopt command to achieve it? In the documentation I found that I could use user-defined function for the scaling, selection, mutation and crossover. But these do not offer a space for replacing the current population. Anybody know how to solve the problem? Or do I need to prepare my own genetic algorithm code instead of using ga or gamultiopt command?

I'm looking forward to any suggestions.

Thanks in advance!

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Answer 1

Alan Weiss 2013-12-5

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Selection gets you the parents. Mutation and crossover get you the children. So custom selection, mutation, and crossover functions can provide what you need.

For a discussion of the GA algorithm, see How the Genetric Algorithm Works.

Alan Weiss

MATLAB mathematical toolbox documentation