Adaptive sparsity detection-based evolutionary algorithm for large-scale sparse multi-objective optimization problems

Large-scale sparse multi-objective optimization problems (LSSMOPs) widely exist in practical applications, which have large-scale decision variables and sparse Pareto optimal solutions. Existing algorithms have some shortcomings in dealing with LSSMOPs: (1) failing to make full use of the knowledge...

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Veröffentlicht in:	Applied intelligence (Dordrecht, Netherlands) Netherlands), 2025-04, Vol.55 (6), p.384, Article 384
Hauptverfasser:	Qiu, Feiyue, Long, Donghui, Chen, Qi, Hu, Huizhen, Qiu, Qicang
Format:	Artikel
Sprache:	eng
Schlagworte:	Adaptive algorithms Evolutionary algorithms Genetic algorithms Multiple objective analysis Optimization Pareto optimization Pareto optimum Real variables Sparsity Variables
Online-Zugang:	Volltext
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