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New review details robust metaheuristics for uncertain port operations

A new review paper published on arXiv addresses the complexities of the berth allocation and quay crane assignment problem (BACAP) within port-terminal operations. It highlights the challenges posed by uncertainties such as fluctuating arrival times and resource availability, which can make schedules fragile. The paper provides the first focused review of robust population-based metaheuristics designed to tackle these uncertainties in BACAP, organizing existing methods by their operational mechanisms. AI

IMPACT Provides a structured overview of optimization techniques for complex logistical problems with uncertain variables.

RANK_REASON The cluster contains a research paper published on arXiv. [lever_c_demoted from research: ic=1 ai=0.4]

Read on arXiv cs.AI →

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New review details robust metaheuristics for uncertain port operations

COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Yang Li, Peilan Xu, Wenjian Luo ·

    Robust Metaheuristics under Uncertainty for Berth Allocation and Quay Crane Assignment: A Review

    arXiv:2608.19214v1 Announce Type: new Abstract: The berth allocation and quay crane assignment problem (BACAP) is a representative port-terminal scheduling problem in maritime transportation and freight logistics, where vessel arrivals, berth positions, service durations, and qua…