A hybrid optimization framework using maximal disjoint ball decomposition and interior point methods achieves over 10% improvement and 0.6-2% accuracy relative to ground truth on spatial packaging benchmarks.
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2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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cs.CE 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
Extends SPI2 with differentiable MDBD-based inside-outside evaluation for non-convex spaces, integrates center-of-gravity and inertia calculations, and demonstrates an end-to-end CAD workflow on a fictional aircraft unit.
citing papers explorer
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A Hybrid Optimization Framework for Spatial Packaging of Interconnected Systems
A hybrid optimization framework using maximal disjoint ball decomposition and interior point methods achieves over 10% improvement and 0.6-2% accuracy relative to ground truth on spatial packaging benchmarks.
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Spatial Optimization of Interconnected Systems in Non-Convex Design Spaces
Extends SPI2 with differentiable MDBD-based inside-outside evaluation for non-convex spaces, integrates center-of-gravity and inertia calculations, and demonstrates an end-to-end CAD workflow on a fictional aircraft unit.