A dataset containing Pareto-front approximation sets for the continuous bi-objective (i.e., \(m=2\)) problems ZDT1 and ZDT3 (see [3]). The data was calculated by the Evolutionary Multi-Objective Algorithms (EMOAS) NSGA-II [1] and SMS-EMOA [2].
emoas_on_zdt
A data frame with 5 columns/variables: y1 and y2
(objective function values), algorithm, problem and repl
(independent replication due to the stochsticity of the algorithms).
[1] Deb, K., Pratap, A., and Agarwal, S. A Fast and Elitist Multiobjective Genetic Algorithm: NSGA-II. IEEE Transactions on Evolutionary Computation, 6 (8) (2002), 182-197.
[2] Beume, N., Naujoks, B. and Emmerich, M. SMS-EMOA: Multiobjective selection based on dominated hypervolume. European Journal of Operational Research, 2007, vol. 181, issue 3, 1653-1669.
[3] E. Zitzler, K. Deb, L. Thiele, Comparison of multiobjective evolutionary algorithms: Empirical results, Evolutionary computation 8 (2000) 173–195.