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J.-G. Zhang

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Open access Aug 2026

Research on the Impact of Ant Colony Algorithm Optimization Based on Highway Enterprise Operation Data on Cost Control of Logistics Path Planning

This study investigates logistics path planning cost control through an optimized Ant Colony Algorithm driven by highway enterprise operational data and provides an effective engineering solution for intelligent logistics management, transportation optimization, and data-driven supply chain operations.

J.-G. Zhang, X.-C. Li, S. Zhang et al. · 0 citations