How to Find Multiple Minima of Objective Function from Genetic Algorithm?

When using genetic algorithm to find global minimum of objective function, algorithm gives only the best result (smallest value of objective function it found). Is it possible for genetic algorithm to give multiple best local minima it found? In my problem, I would like to get approximately best 100 results and to sort them by the value of objective function.

Answer 1

[Matt J]

You can call ga() with more output arguments to obtain the final population and their scores,

[x,fval,exitflag,output,population,scores] = ga(___)