Surrogate-assisted decomposition-based multi-objective evolutionary fuzzy clustering algorithm for imbalanced instance data

Feng Zhao

doi:10.1016/j.engappai.2026.116290

Surrogate-assisted decomposition-based multi-objective evolutionary fuzzy clustering algorithm for imbalanced instance data

2026-09-25

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DOI：10.1016/j.engappai.2026.116290

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• Surrogate-assisted decomposition-based multi-objective fuzzy clustering algorithm. • Three clustering objective functions for size and density imbalance in instance data. • Constructing a Pareto set learning-based surrogate-assisted evolutionary framework. • Designing an optimal solution selection metric based on local density and distance.

Keywords:

Evolutionary clustering

Fuzzy clustering

Decomposition-based multi-objective evolutionary algorithm

Surrogate-assisted optimization

Imbalanced instance data

Surrogate-assisted decomposition-based multi-objective evolutionary fuzzy clustering algorithm for imbalanced instance data

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