SHIFT applies an invertible sigmoid-based compression to SBST fitness landscapes to accelerate convergence by smoothing local traps without changing global semantics.
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SHIFT: Sigmoid-Based Heuristic Invertible Fitness-Landscape Transformation for Accelerating SBST
SHIFT applies an invertible sigmoid-based compression to SBST fitness landscapes to accelerate convergence by smoothing local traps without changing global semantics.