Adaptive population classification based multi-strategy evolutionary algorithm for dynamic constrained multi-objective optimization

Xueqing Wang

doi:10.1016/j.eswa.2026.132089

Adaptive population classification based multi-strategy evolutionary algorithm for dynamic constrained multi-objective optimization

2026-04-05

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DOI：10.1016/j.eswa.2026.132089

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• Proposes a feasibility-diversity population classification. • Designs evolutionary denoising autoencoder prediction for feasible subpopulations. • Develops feasibility-adapted objective correction method for high-potential infeasible populations. • Introduces micro-adjustment Gaussian mutation strategy.

Keywords:

feasibility-diversity population classification

evolutionary denoising autoencoder

feasibility-adapted objective correction

micro-adjustment Gaussian mutation

dynamic constrained multi-objective optimization

Adaptive population classification based multi-strategy evolutionary algorithm for dynamic constrained multi-objective optimization

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