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 |
|---|---|
| Journal | Soft Computing |
| Early online date | 01 Apr 2019 |
| DOIs | |
| Publication status | E-pub ahead of print - 01 Apr 2019 |
Keywords
- urban hazmat transportation
- multiple factors
- multi-level programming
- biogeography-based optimization
- pareto optimization
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Changjing Shang
- Faculty of Business and Physcial Sciences, Department of Computer Science - Senior Research Fellow
Person: Research