Identifying Pareto Fronts Reliably Using a Multi-Stage Reference-vector-based Framework

Evolutionary multi-objective and many-objective optimization (EMO and EMaO) algorithms are increasingly being used to identify the true shape and location of the Paretooptimal front using a few representative well-converged and welldistributed solutions. The reason for their popularity is due to the...

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Veröffentlicht in:	IEEE transactions on evolutionary computation 2023-02, p.1-1
Hauptverfasser:	Deb, Kalyanmoy, Lopes, Claudio Lucio do Val, Martins, Flavio Vinicius Cruzeiro, Wanner, Elizabeth Fialho
Format:	Artikel
Sprache:	eng
Schlagworte:	Convergence evolutionary algorithms Evolutionary computation Gap-filling method Heuristic algorithms Multi-objective optimization Optimization Pareto front Reliability Sociology Statistics
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