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Improving inbound logistic planning for large-scale real-world routing problems: a novel ant-colony simulation-based optimization
Research article (European Transport Research Review, 2020) · cited 58× · AI/ML
Improving inbound logistic planning for large-scale real-world routing problems: a novel ant-colony simulation-based optimization
Summary
Improving inbound logistic planning for large-scale real-world routing problems: a novel ant-colony simulation-based optimization is a scholarly article[1].
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Improving inbound logistic planning for large-scale real-world routing problems: a novel ant-colony simulation-based optimization's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Improving inbound logistic planning for large-scale real-world routing problems: a novel ant-colony simulation-based optimization. Retrieved May 24, 2026, from https://4ort.xyz/entity/improving-inbound-logistic-planning-for-large-scale-real-world-routing-problems-a-novel-ant-colony-simulation-based-opti