emoas_on_zdt: Exemplary Pareto-front approximations sets
In jakobbossek/ecr3vis: Evolutionary Computation in R - Version 3
Description
Usage
Format
References
Description
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].
Usage
1
Format
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).
References
[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.
jakobbossek/ecr3vis documentation built on Dec. 20, 2021, 9 p.m.
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Description Usage Format References
Description
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].
Usage
1 |
Format
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).
References
[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.
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