Abstract
In this paper, an urban hazmat transportation problem considering multiple factors that tangle with real-world applications (i.e., weather conditions, traffic conditions, population density, time window, link closure and half link closure) is investigated. Based on multiple depot capacitated vehicle routing problem, we provide a multi-level programming formulation for urban hazmat transportation. To obtain the Pareto optimal solution, an improved biogeography-based optimization (improved BBO) algorithm is designed, comparing with the original BBO and genetic algorithm, with both simulated numerical examples and a real-world case study, demonstrating the effectiveness of the proposed approach
| Original language | English |
|---|---|
| Pages (from-to) | 6307-6328 |
| Number of pages | 22 |
| Journal | Soft Computing |
| Volume | 24 |
| Issue number | 9 |
| Early online date | 01 Apr 2019 |
| DOIs | |
| Publication status | Published - 01 May 2020 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 11 Sustainable Cities and Communities
Keywords
- urban hazmat transportation
- multiple factors
- multi-level programming
- biogeography-based optimization
- pareto optimization
- Multi-level programming
- Biogeography-based optimization
- Urban hazmat transportation
- Pareto optimization
- Multiple factors
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