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Benchmarking continuous dynamic multi-objective optimization: Survey and generalized test suite
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DOI：10.1016/j.swevo.2026.102361.png)
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Abstract
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• Proposes a novel, comprehensive framework for generating highly realistic DMOO benchmarks. • Introduces hypersurface-based Pareto Set changes, controlled imbalance, and dynamic rotation. • Incorporates irregular temporal perturbations and a generalized time-linkage mechanism. • Establishes a new DMOO benchmark standard and demonstrates algorithm discrimination effectiveness.
Keywords:
Dynamic multi-objective optimization
Benchmark problems
Performance metric
Irregular change
Time-linkage
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