A sector-based sparse variable competition framework for large-scale many-objective optimization

doi:10.1016/j.eswa.2026.134638

A sector-based sparse variable competition framework for large-scale many-objective optimization

2026-10-12

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DOI：10.1016/j.eswa.2026.134638

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• A sector-based sparse variable competition framework is proposed for LSMaOPs. • Sector-wise scalarized fitness links local solution evaluation and variable probing. • Sector-specific selected decision variables are identified by hierarchical variable-block probing. • Sparse competitive update is performed only on SSDVs within each sector. • Experiments on LSMOPs and real-world problems verify SSVCF by IGD and HV.

Keywords:

Large-scale many-objective optimization

Evolutionary algorithm

Decision variable analysis

A sector-based sparse variable competition framework for large-scale many-objective optimization

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