Embedded Files
M. Li. Is our archiving reliable? Multiobjective archiving methods on “simple” artificial input sequences. ACM Transactions on Evolutionary Learning and Optimization, 1(3), 2021 [Sequences].
M. Li. Is our archiving reliable? Multiobjective archiving methods on “simple” artificial input sequences. ACM Transactions on Evolutionary Learning and Optimization, 1(3), 2021 [Sequences].
Idea:
Idea:
We construct seven sequences of solutions with extremely simple Pareto front shapes, but interesting orders of solutions entering the archive, and show the struggle of five archiving methods used in well-established EMO algorithms, NSGA-II, IBEA, SMS-EMOA, MOEA/D and NSGA-III.
We construct seven sequences of solutions with extremely simple Pareto front shapes, but interesting orders of solutions entering the archive, and show the struggle of five archiving methods used in well-established EMO algorithms, NSGA-II, IBEA, SMS-EMOA, MOEA/D and NSGA-III.
The Pareto fronts of the constructed sequences of solutions
The Pareto fronts of the constructed sequences of solutions
Results:
Results:
Solution sets obtained by five well-established archiving algorithms on several sequences with 1D/2D simplex Pareto front shapes
Solution sets obtained by five well-established archiving algorithms on several sequences with 1D/2D simplex Pareto front shapes
Sequence 2
Sequence 2
Sequence 3
Sequence 3
Sequence 5
Sequence 5
Sequence 7
Sequence 7
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