Performance assessment of multiobjective optimizers: an analysis and review

An important issue in multiobjective optimization is the quantitative comparison of the performance of different algorithms. In the case of multiobjective evolutionary algorithms, the outcome is usually an approximation of the Pareto-optimal set, which is denoted as an approximation set, and therefo...

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Veröffentlicht in:	IEEE transactions on evolutionary computation 2003-04, Vol.7 (2), p.117-132
Hauptverfasser:	Zitzler, E., Thiele, L., Laumanns, M., Fonseca, C.M., da Fonseca, V.G.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithm design and analysis Algorithms Approximation Classification Computer networks Design engineering Electronic mail Evolutionary algorithms Evolutionary computation Laboratories Mathematical analysis Mathematical models Optimization Performance analysis Quality assessment Space technology Vectors (mathematics)
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