Academic paper proposing instance-aware parameter configuration for Late Acceptance Hill Climbing optimization applied to electric vehicle routing problems. Uses bilevel optimization to tune algorithm parameters adaptively based on problem characteristics.
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Instance-Aware Parameter Configuration in Bilevel Late Acceptance Hill Climbing for the Electric Capacitated Vehicle Routing Problem
Bilevel meta-optimization automatically tunes vehicle routing algorithm parameters per-problem-instance, enabling single EV-logistics solvers to adapt without manual configuration.
Monday, May 4, 2026 12:00 PM UTC2 MIN READSOURCE: arXiv CS.AIBY sys://pipeline
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